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Introducing AT&T Business Unlimited Ultimate 3.0

New Unlimited Ultimate 3.0 includes connectivity for one tablet and one wearable with every voice line, helping businesses extend productivity beyond the smartphone.

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Jul 21 • 10:00 AM EDT • Business • about.att.com
Fan Favorite Takes on TUF Winner at UFC Paris

Nathaniel Wood is back in action on September 5 in Paris, France. The Englishman puts his four-fight winning streak on the line against The Ultimate Fighter season 32 winner Mairon Santos. Both fighters will meet in the featherweight division.Multiple sources have confirmed the booking to Heavy.com. While both Wood and Santos remain unranked in the […] The post Fan Favorite Takes on TUF Winner at UFC Paris appeared first on HEAVY.

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Jul 21 • 12:20 AM EDT • Sports • sports.yahoo.com
Shaky political "science": breakdown of the peer review process

[This article is the latest in our “Shaky Political Science” series. In our 38 page report, “Shaky political ‘science’ misses mark on ranked choice voting,” released in December 2025, we examined over 40 studies focused on ranked choice voting (RCV). Many of these studies suffered from puzzling research methodologies, poorly constructed surveys, unrealistic simulated elections, cherry picked data and faulty analyses that often were contradicted by results from real-world elections (a link to our full paper is here). Here are links to the first four articles in our series: the first one summarizing the overall results of our report; the second one analyzed a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report; a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research; and a fourth article that analyzed seven studies sponsored by New America’s political reform program that deployed flawed methodology based on “simulated” elections instead of real-world elections, which when combined with some basic misunderstandings of RCV, produced odd and misleading results]. In this fifth article in our “Shaky Political Science” series, we examine two flawed studies on the impact of RCV on voter turnout authored by San Francisco State University professor Jason McDaniel. McDaniel’s research in these two papers stands out for its puzzling methodology, inadequate and cherry-picked data, and faulty analyses that not only misunderstands ranked choice voting but reflects a basic misunderstanding of politics in general. The first of the McDaniel studies actually passed through a peer review process and then was subsequently published by the Journal of Urban Affairs, despite its obvious errors. It is perplexing that a jury of peer political scientists did not catch the errors and send it back to McDaniel for a rewrite or outright rejection. This calls into question the credibility of the peer review process itself. The peer review process is supposed to represent the intellectual pinnacle of the profession – a way for academics to certify the quality of each other’s work, and to act as a check against sloppy research. In the case of the McDaniel study, the peer review process failed. Yet his flawed study has been cited dozens of times by other political scientists in their own flawed works — an unvirtuous circle of academic research. Here is the first Jason McDaniel study that we analyzed: “Writing the Rules to Rank the Candidates: Examining the Impact of Instant-Runoff Voting on Racial Group Turnout in San Francisco Mayoral Elections,” by Jason McDaniel, 2016, Journal of Urban Affairs. This study covered San Francisco’s use of ranked choice voting (RCV) in mayoral elections, purporting to show that RCV reduces voter turnout overall, increases voter errors, and has a negative impact on “marginal populations,” i.e. racial minorities, mainly as the result of the alleged complexity of RCV asking voters to rank candidates and having to be familiar with multiple candidates and related dynamics. McDaniel reached these conclusions by examining five San Francisco mayoral elections taking place in odd years (i.e. where there are no federal or state races on the ballot) from 1995 to 2011, comparing three earlier non-RCV races (in 1995, 1999 and 2003) with the later two RCV races (in 2007 and 2011). Only two RCV races were studied, and as McDaniel acknowledged, only the contest in 2011 was “competitive” (that contest in 2007 was the first mayoral election using RCV, and incumbent mayor Gavin Newsom won easily in the first round of counting, earning 74% of first choices and far ahead of the second place candidate who had just 6.3% of first choices). Yet even the allegedly competitive contest in 2011was won by an incumbent with a landslide margin of nearly 20 points. No other elections were studied by McDaniel, even though San Francisco elects 17 other offices besides mayor with RCV, including the 11 seats on the Board of Supervisors (the name for the city council) in even years, and six other citywide offices in odd years. Previous academic research has found that competitive elections can stimulate greater voter involvement and higher turnout. For unexplained reasons, this study ignored at least 34 other RCV races between the years 2004 to 2011, many of which were very competitive and had high voter turnout. Instead, McDaniel’s analysis based its conclusions on data from only a single, marginally-competitive mayor’s race using RCV. These 2007 and 2011 mayoral elections were the only two RCV elections that McDaniel used as the sole basis for his small data set to determine the impact of RCV on voter turnout. Despite having no meaningful data to inform his study, McDaniel nonetheless concluded that RCV lowered turnout when compared to the previous three mayoral non-RCV elections using two-round runoffs. Then, using the same inadequate database of San Francisco elections, McDaniel also found that “Instant-runoff voting is associated with a significant decline in Black voter turnout and White voter turnout…On average, Black voter turnout decreases by 18 points and White voter turnout decreases by 16 points …” But how could he credibly arrive at that conclusion when his study was based on voter turnout in two RCV contests that were not even remotely competitive? Beyond that, McDaniel tacitly admits that the key determining factor driving Black voter turnout was not RCV vs non-RCV elections, but the presence of a viable Black candidate. McDaniel wrote, “Black voter turnout was about 17 percentage points higher for the two elections that featured an African American candidate compared to the three elections that did not” — but one of those three elections did not use RCV. The same dynamic was present for White voter turnout, in which higher turnout was not correlated with RCV vs non-RCV elections, but the presence of a viable White candidate. Beyond that, McDaniel’s voter turnout results, whether correlated with the race of the candidates or RCV vs non-RCV elections, showed no clear patterns. In his Figure 1, he shows low Asian voter turnout in the non-RCV elections in 1999 and 2003 when there was no viable Asian candidate running, but in the 2007 mayoral election using RCV, there is still no viable Asian candidate, yet Asian turnout increases dramatically. For Latinos, voter turnout is virtually the same in 1999 (no viable Latino candidate, non-RCV elections), 2003 (leading Latino candidate, non-RCV elections), 2007 (no viable Latino candidate, RCV elections) and 2011 (leading Latino candidate, RCV elections). Meanwhile White voter turnout increased dramatically from a low in the 2007 mayoral election, in which the leading candidate was a white incumbent, to the 2011 election in which there were no leading white candidates that finished any higher than sixth place with 5.6% of the vote. Clearly other factors were determining voter turnout than either the race of the candidates or RCV vs non-RCV elections. Despite these inconsistent findings, McDaniel boldly marches forth to render conclusions about the impact of RCV on different groups of racial voters, even though his conclusions are not remotely supported by his data. This looks like the worst kind of “data cherry picking” to cover up a puzzling conclusion based on a poor data set involving only two RCV elections, neither of which were remotely competitive. McDaniel’s cherry picking didn’t stop there. In calculating voter turnout for the three non-RCV mayoral elections in 1995, 1999 and 2003, he failed to mention that in each of these years there was a two-round runoff election, with a first round election in November in which no candidate garnered a winning majority of the vote, followed by the decisive runoff in December. So there were two non-RCV elections in each election year. But McDaniel only decided to include one of the two elections in his data set, apparently the December runoff in each year (which had higher turnout in two out of the three mayor’s races, and lower turnout in the third). So he ignored the November 1995 election, the November 1999 election when turnout was only 45 percent, and the November 2003 election when turnout was only 45.7 percent. This is flawed methodology based on blatant cherry picking, since McDaniel simply omitted three elections worth of data that did not fit within his frame. His study should never have made it through a peer review process, and it is an embarrassment to political science that not only was it approved for publication, but it has been uncritically cited by dozens of other political scientists. Share A “study” without wider context or credible data Lacking a data set that included even a single competitive RCV mayoral race, McDaniel declared that RCV lowered voter turnout in 2011, when turnout was 42.5 percent. But he also ignored -- or did not realize -- that voter turnout in mayoral elections during 2011 had sharply declined in all big cities, including far more steeply in nearby Los Angeles and other cities. In fact, San Francisco’s election in 2011 had the second highest turnout of any mayoral election in the nation’s 22 largest cities from 2008-2011. Was 2011 just a particularly low turnout year all across the country, perhaps because the country was still reeling from the aftermath of the housing market collapse in 2008-2010? McDaniel ignored this factor and did not search for alternative explanations beyond his flawed thesis. Furthermore, while McDaniel suggested that RCV leads to more “overvotes” – which is an invalidated ballot in which a voter, in either a non-RCV or RCV race, makes a mistake and selects two candidates for a single choice – he failed to address that in the June 2012 US Senate primary contest, which used the typical “one-choice” plurality method and did not use RCV, there was more than five times as many overvotes in San Francisco and Oakland than in the RCV mayoral elections in those cities. Additionally, turnout had been significantly higher and more representative in RCV elections for the San Francisco Board of Supervisors races -- that McDaniel didn’t even bother to study -- as compared to previous “delayed two-round runoffs” for those offices, often higher by as much as 40% in the RCV races. Perhaps the most surprising irony was that an earlier study co-authored by McDaniel (Overvoting and the Equality of Voice under Instant-Runoff Voting in San Francisco by Francis Neely and Jason McDaniel, 2015, California Journal of Politics and Policy) found that overvotes are often more common in lower-income precincts, but that the pattern of overvoting is similar in both RCV and non-RCV contests. Wrote Neely and McDaniel: “[Overvote] errors appear to be a function of complexity in general and not IRV per se…. the pattern of overvoting is similar in both IRV and non-IRV contests…Even among votes cast in a top-of-the-ticket race like U.S. Senate, overvoting occurs in an uneven fashion” (IRV, or ‘instant runoff voting,’ is another name for ranked choice voting in single-winner contests). So McDaniel not only contradicted his own conclusion in his earlier study with Neely, but the earlier study had been an important corrective for one of the most frequently made mistakes made by anti-RCV political scientists – a continual failure to provide crucial context by pairing a comparative analysis of real world RCV elections with an analysis of real world plurality or other electoral methods. Unfortunately McDaniel’s earlier study does not get cited much by other researchers, and McDaniel did not even cite it in his own flawed study analyzed above. Incredibly, McDaniel cherrypicked McDaniel, even as his flawed study has been cited dozens of times. Despite being a textbook example of poor political “science,” featuring both inadequate as well as cherrypicked data, the shelf life of McDaniel’s study has been extended endlessly by other political scientists and media outlets who have cited it uncritically. Equally troubling, the Journal of Urban Affairs put this paper through its peer review process and published it despite its numerous flaws. McDaniel gets it wrong, Part II Not content with producing one shoddy, confused paper, McDaniel produced another one a few years later, here is the link: Electoral Rules and Voter Turnout in Mayoral Elections: An Analysis of Ranked-Choice Voting by Jason McDaniel. San Francisco State Univ. (McDaniel, 2019). In this paper, McDaniel extended his previous flawed research focused on San Francisco, about voter turnout and voter impact, to multiple RCV cities through the 2018 elections. In his data set he included San Francisco, Minneapolis, St Paul, Oakland, Berkeley, San Leandro and Santa Fe. He then compared their turnout in mayoral elections to non-RCV cities, and to mayoral elections in those cities held before first RCV usage, and concluded “a significant decrease in voter turnout of approximately 3–5 percentage points in RCV cities after the implementation of RCV.” But he replicated many of the same mistakes as his first study presented above. While in this study McDaniel attempted to distinguish between various factors, such as odd year vs. even year elections, competitive races vs. noncompetitive, contests with open seats and other factors, the analysis is superficial and inadequate. He attempts to incorporate so many often-conflicting variables that his conclusions are once again unsupported by the actual data, and ultimately unconvincing (this second study never underwent a peer review process). For example, McDaniel declared that for RCV cities “in elections that are more competitive than average (margin of victory less than 20%), there is no significant RCV effect on voter turnout.” Yet McDaniel is a professor in a city, San Francisco, in which the 2018 special election using RCV to fill a mayoral vacancy was exceedingly close, decided by a margin of only one percentage point, and resulted in the second highest turnout in San Francisco history for a mayoral election. Illustrating the complexity involved in assessing the critical factors in turnout, that special election was held on the same election day as federal and state offices, which tends to boost turnout. Yet more voters participated in that RCV mayoral election than voted on the same day in the non-RCV primary for governor in which former San Francisco mayor Gavin Newsom was running. Even more puzzling, in this study McDaniel inaccurately cited his own previous study from 2015 with Neely. McDaniel wrote, “Neely and McDaniel (2015) examine individual ballot image files within a natural experiment, and find higher rates of ballot errors in RCV elections compared to non-RCV elections” (emphasis added). However, we quoted from that 2015 study several paragraphs above, and in actual fact Neely and McDaniel actually concluded the opposite -- that the pattern of overvoting – which is the most common form of ballot error – is similar in both RCV and non-RCV contests. McDaniel also ignored the fact that in Bay Area RCV elections held in even years – at the same time as federal and state elections, when turnout is highest -- the “undervote” (that is, the dropoff in ballots cast for governor or mayor) has declined, which contradicts his thesis that the act of ranking ballots in RCV elections is too complex and presents a barrier for certain demographics of voters. To his credit, McDaniel actually acknowledged another contradiction in his own paper, which found a negative RCV turnout effect in some odd-year elections but not others, admitting that “may present a challenge to the theory that increased complexity [from RCV] will have a marginal negative effect on voter turnout.” But he tried to wallpaper over that contradiction by blaming it on an unlikely source -- bad election administration. McDaniels wrote, “This would suggest that the negative impact of RCV on voter participation may be alleviated by high quality election administration,” without presenting any data or even anecdotes to support such an unfounded theory. While competent election administration of any election, whether RCV or non-RCV, is crucially important, there is no credible research that supports the far-fetched notion that the quality of election administration has much of an impact on voter turnout in US elections, whether using RCV or otherwise. Upgrade to a $5 subscription The unvirtuous circle of academic research It is puzzling how McDaniel’s first study could have survived the peer review process for the Journal of Urban Affairs. The mistakes in McDaniel’s first study above should have been obvious to anyone with a basic understanding of ranked choice voting as well as elections in general, and elections in San Francisco specifically. It undermines faith in the credibility of the peer review process to think that a jury of peer political scientists did not catch the egregious errors and reject McDaniel’s sloppy research and paper. And it remains a black mark on political science that this thoroughly discredited study has been cited dozens of times by other researchers. Indeed, in our research paper it became apparent that many political scientists cite each other’s flawed research to pad their list of citations and to legitimize their own flawed research, creating an unvirtuous circle of political science. More broadly, McDaniel’s voter turnout studies, like other studies evaluating RCV’s impact on turnout, lacked a recognition that no credible opinion or research can claim that RCV increases voter turnout merely because so many voters are excited to vote for their favorite candidates instead of “lesser evil” candidates without worrying about spoilers. Instead, with respect to turnout, the advantage of RCV has always been that, in most places where it has been used, it has eliminated a pre-November primary or post-November runoff, which usually saw about half the turnout of the November general election. This is especially true during even years when there are state and federal elections on the ballot which substantially drive turnout more than local contests. Any study that does not adequately account for this non-November primary/runoff vs November general election dynamic, or odd year vs even year election factors, is simply not credible. Both of McDaniel’s studies largely failed on those grounds. Steven Hill and Paul Haughey Share Upgrade to a $5 subscription Thanks for reading DemocracySOS…your digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe

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Jul 20 • 9:29 AM EDT • Science • democracysos.substack.com
How presidential travel is the ultimate expression of political power

President Donald Trump's luxury plane donated by Qatar is just the latest in a line of aircraft and vehicles that advertise the power of the office.

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Jul 19 • 4:25 PM EDT • Politics • inquirer.com
Will Colorado Gov. Jared Polis’ independent streak define his legacy?

Sometimes aligned with his party and at other times apart from it, Colorado Gov. Jared Polis has spent much of his tenure charting his own course. That independent streak carried through fights over labor policy, rural anger over wolf reintroduction and ultimately his decision to commute Tina Peters’ sentence, a move that reshaped his standing […]

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Jul 18 • 7:00 AM EDT • Politics • coloradopolitics.com
Indiana Finally Gets Anticipated Final Answer on 5-Star Recruit

After months of battling to land one of the best players in the nation, Indiana Hoosiers head coach Curt Cignetti comes through again with an incredible achievement.The Hoosiers have been in a recruiting battle for five-star standout wide receiver Monshun Sales. Indiana was going up against schools like Alabama, Texas, LSU, and Ohio State.Ultimately, at […] The post Indiana Finally Gets Anticipated Final Answer on 5-Star Recruit appeared first on HEAVY.

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Jul 17 • 6:59 PM EDT • Sports • sports.yahoo.com
The Odds: The Ultimate Soccer Ticket
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Jul 17 • 10:02 AM EDT • Politics • cnn.com
Sports without politics is a fantasy and the World Cup proves it

From ancient Greece to Nazi Germany, sport and politics have long been intertwined. Nevertheless, we still imagine that international sport can be kept above the fray and serve as a neutral arena where nations compete on merit alone. In this article, diplomacy scholar Geoffrey Allen Pigman argues the 2026 FIFA World Cup shows this is a dangerous illusion. When international sport is left entirely to revenue-maximizing private bodies like FIFA, it doesn't escape politics, but rather surrenders to its worst expressions. With the 2028 Los Angeles Olympics fast approaching, the IOC must decide whether to learn that lesson or repeat the same mistakes. The largest and most lucrative FIFA World Cup ever draws toward its climactic conclusion amidst a swirl of controversy. Team members, staff, fans, and spectators have been denied their right to enter the United States to participate, and US President Donald Trump intervened with FIFA boss Gianni Infantino to overturn a referee’s call that Trump believed disadvantaged the US national team. It is a moment to step back and reflect on what the purposes of international sport mega-events like the World Cup, and international sport more broadly, are, and what they should be. Does international sport serve public purposes? Is there a public interest? Or is it primarily a private endeavor organized by commercial enterprises to entertain the global public (and generate profit in the process), which is occasionally used by governments and leaders for raisons d’etat? Central to the idea of sport is the principle of fair play, which in the international context demands that games be free from political interference. However, it is impossible to separate sport from politics, all claims to the contrary notwithstanding. The most positive political use of international sport through the millennia has been to facilitate diplomacy. The use of international sport for diplomatic objectives has existed since at least the time of the ancient Olympic Games, around which was instituted the custom of the Ekecheiria, or Olympic Truce, between participating states to facilitate fair competition and diplomatic achievements by ensuring that participants could travel safely to the Olympiad. In his seminal work On Diplomacy (1987), diplomacy scholar James Der Derian characterized the objectives of diplomacy as overcoming alienation and mediating estrangement between governments and between peoples. One increasingly important diplomatic tool in the technology-infused media environment over the past century has been public diplomacy, under which governments and non-state diplomatic actors (e.g. transnational corporations) communicate to global publics about their international policy objectives and to shape their global brand image. Political scientist Michał Kobierecki, in his important book Sports Diplomacy (2020), views sports diplomacy as falling broadly within the ambit of public diplomacy, as international sport intimately involves the participation of global publics as spectators and consumers of global media. Diplomacy scholar Stuart Murray and this author, in a 2013 article, distinguish between international sport used for diplomatic purposes and international sport-as-diplomacy, which encompasses the range of diplomacy that occurs as teams and competitors, spectators and fans, and government officials all converge for international sporting events like the Olympic Games and FIFA World Cup. Diplomacy scholar H.E. Chehabi, in a 2001 article on US-Iran sports diplomacy, describes the interaction between spectators and fans at international sporting events as “people-to-people diplomacy,” in which relationships develop independently of governments and their objectives. Diplomacy by the aforementioned definitions is often unsuccessful. Moreover, all too often the tools of diplomacy may be employed by governments and other actors to thwart or oppose the objectives of diplomacy as characterized by Der Derian. Governments routinely use the tools of public diplomacy to disseminate propaganda, spreading misinformation in the attempt to deceive global publics about their objectives and to create misleading impressions about their brand identity. Within sports diplomacy, the term “sportswashing” has been coined recently to describe how governments invest in and promote international sport to create positive global public impressions of their nations and, in doing so, to distract the global public from their deficient records in areas such as human rights and democratic governance. Murray, in his 2018 book Sports Diplomacy: Origins, Theory and Practice, introduces the concept of sports anti-diplomacy, wherein governments intentionally use international sport to advance aggressive and nationalistic objectives. Obvious historical examples include Hitler’s use of the 1936 Berlin Olympics to glorify his Third Reich and the 1969 El Salvador-Honduras football “war.” SUGGESTED READING The beautiful game made ugly By Emily Ryall FIFA argues that it is and seeks to be apolitical in its stewardship of international Association Football (soccer). FIFA policies governing bids to host the World Cup require uninhibited and non-discriminatory access for players, team staff, and spectators of all participating countries to host nations and venues. It became clear soon after Trump returned to power in the United States in January 2025 that Trump’s political intentions and objectives to limit non-US citizens from living and working in the United States and, in numerous cases, even visiting the country, would collide with FIFA’s host nation policies. Beginning soon after the start of the second Trump administration, US federal authorities imposed restrictions on entry to the United States of citizens of between 20 and 40 countries for any purpose, with only limited exceptions. Federal Immigration and Customs Enforcement (ICE) began arresting non-US citizens in the United States, including persons with and without legal status, holding them in jails, concentration camps, and other detention facilities until they were deported to their home or third countries, where they faced substantive risks to their personal safety. FIFA boss Gianni Infantino, in an effort to ensure the most successful and lucrative World Cup in history, engaged diplomatically with President Trump in an attempt to facilitate entry to the US for World Cup participants. Infantino did all in his power to ingratiate himself with Trump, to the extent of creating a FIFA “Peace Prize,” which he awarded to Trump in December 2025 at a ceremony in the then Trump-controlled John F. Kennedy Center for the Performing Arts in Washington, DC, on the occasion of the World Cup draw. The prize was an ersatz consolation for someone who aspired in vain to win the rather more prestigious and well-known Nobel Peace Prize. And in the run-up to the World Cup, conditions became worse. In February 2026, Trump and Israeli Prime Minister Benjamin Netanyahu launched a war of aggression against Iran, illegal under international law, under the false pretence that Iran’s government was preparing to attack the United States and Israel. During the US aerial bombardment of Iran, US planes bombed Azadi Stadium, the facility where Iran’s national football team trained. As the 2026 FIFA World Cup began, it was clear that Infantino’s efforts had been for naught: the Trump administration would not adhere to FIFA policies governing access to World Cup host nations. World Cup referee Omar Artan, a citizen of Somalia, was denied a US visa to enter the United States to participate in the World Cup. Trump’s government only granted US visas to Iran’s football team ten days before they were scheduled to arrive for the tournament. Numerous members of the support staff for Iran’s team were denied US visas. Iran’s team, which had been scheduled to train in Arizona, was directed to shift its training site to Tijuana, Mexico, notwithstanding that all three of their group stage matches took place at US venues. The US Department of Homeland Security only permitted the Iranian team to enter the US on the day before each scheduled match and then to return to Mexico immediately after playing. Members of Iraq’s and Switzerland’s football teams were delayed for hours by US officials at the US border, and an Iraqi team photographer was refused entry. Spectators and fans from Haïti and Iran were denied entry to the United States altogether. A large number of fans from a range of countries had their applications for US visas rejected. There were multiple off-ramps through which participants could have avoided the negative consequences of Trump’s decisions for the 2026 World Cup. Once it was clear that the Trump government intended to violate the established expectations for World Cup hosts, FIFA could have shifted the matches scheduled to take place in the United States to Mexico and Canada. The three nations were already designated as co-hosts, and host cities and venues had been selected. Once it was clear that FIFA, governed by FIFA boss Gianni Infantino’s dependent and dysfunctional relationship with Trump, would never consider this option on its own, it fell to the national football federations to act. The national federations, particularly some combination of federations of the leading contenders (France, Spain, Brazil, Argentina, Morocco, England, Germany, etc.), could have refused to participate under the US-imposed conditions or, at the least, demanded an ironclad agreement with the Trump government that FIFA policies on access would be respected. ___ International sport is inextricably entangled with diplomacy of different sorts, for good or ill, it cannot be considered to be in the purely private realm and left to revenue-maximizing private actors. ___ Why did neither FIFA nor the national football federations act to protect the interests of players, team staff, referees, fans, and spectators? In essence, the relentless engines of capitalism prevailed over norm observance, ethics, and fair play. The revenue interests of FIFA, sponsors, global media, and host cities won out. FIFA’s managers viewed hosting another World Cup principally in the United States as a veritable pot of gold for FIFA and its collaborators. FIFA has estimated its own revenue over the 2023-26 budget cycle, which includes the 2026 World Cup, at $13 billion, revised up from an initial projection of $11 billion, and 72% higher than the previous revenue cycle. Of that total, FIFA is estimated to have generated $8.9 billion from the Cup itself in revenue from TV rights ($3.92 billion), sponsorships ($2.69 billion), ticket sales ($3.1 billion), licensing rights, and other sources. A joint study by FIFA and the World Trade Organization estimates that the World Cup will contribute over $40 billion to global GDP, including nearly $14 billion in direct visitor spending in the three host countries (but principally in the United States, which hosted the lion’s share of the matches). The FIFA World Cup is now reportedly “the single most lucrative recurring commercial property in global sport.” And yet, notwithstanding the Trump government’s uses of the World Cup for sports anti-diplomacy, and the climate of anxiety that this created for participants and spectators, diplomacy that did not depend upon governments was able to thrive at the World Cup. Examples of successful people-to-people diplomacy were legion, as citizens of towns and cities across the States, as well as in Mexico and Canada, welcomed team members, their families and supporters, to training sites across North America. Fans of different teams joined together in person in stadiums for matches, at watch parties and bars, and at welcome events sponsored by host cities. The joy and camaraderie shared between the citizenry of Boston and Scotland’s “Tartan Army” of fans is but one example of how the “Beautiful Game” brings people together. Friendships forged across continents are likely to endure well beyond the Cup final. Even those achievements cannot be seen as unalloyed, however. As South African football fan Byron Pillay commented to Al Jazeera, “Football is called the Beautiful Game for a reason, for its ability to unite people. But it’s hard to believe in that magic with the politics and war rhetoric off the field of play, especially when one of the tournament hosts is central to that.” Ultimately, the experience of the 2026 FIFA World Cup illustrates that, as international sport is inextricably entangled with diplomacy of different sorts, for good or ill, it cannot be considered to be in the purely private realm and left to revenue-maximizing private actors. As long as there is the possibility of diplomatic progress in mediating estrangement between governments or between peoples, there is a broad and overarching public interest in international sport. Likewise, as it would be difficult to put on an international sport mega-event without international sporting organizations like FIFA and the International Olympic Committee (IOC), global media firms, and companies purchasing sponsorships, public and private interests in international sport must coexist, most likely somewhere on a shifting spectrum between partnership and rivalry or cross purposes. As the World Cup wraps up, the IOC needs to consider its lessons before the scheduled 2028 Los Angeles Olympics if they want to avoid a media-hyped Trump version of the 1936 Berlin Olympiad. The IOC and the National Olympic Committees need to set conditions on and make demands of Trump’s government with clearly articulated consequences for non-compliance, up to and including cancellation of the Games. Time is running out for the IOC, as unlike with the FIFA World Cup, there is no at-the-ready alternate venue for Los Angeles.

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Jul 16 • 8:00 PM EDT • Politics • iai.tv
Salt Lake City Awarded 2027 College Championships

Colorado Springs, Colo. (July 16, 2026)—The 2027 USA Ultimate College Championships have been awarded to Salt Lake City, the national governing body for the

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Jul 16 • 4:44 PM EDT • Sports • usaultimate.org
One of the world’s most prominent hospitals is testing how AI can revolutionize health care

Mayo Clinic, one of the world’s most well-known hospital systems, is using AI in hopes of improving patient care and, ultimately, saving lives.

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Jul 16 • 5:00 AM EDT • Health • cnn.com
Hone your skills with the Warhammer Academy

The ultimate online beginner’s resource, for free.

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Jul 15 • 8:00 PM EDT • Technology • warhammer-community.com
​​Over 100 Democrats vote to block billions of dollars in military aid to Israel, reflecting growing schism in party

More than 100 Democrats voted to block billions of dollars in military aid to Israel — an ultimately unsuccessful effort that highlighted the growing division in their party on the issue.

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Jul 15 • 5:30 PM EDT • Politics • cnn.com
Fantasy Football Sleepers, Busts & Predictions: 2026 Las Vegas Raiders

The Raiders have been the ultimate coaching carousel in recent history. The team hasn’t had the same head coach in consecutive full seasons since Jon Gruden captained the ship in 2019 and 2020 (and, not that it applies to on-field…

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Jul 15 • 8:34 AM EDT • Sports • sports.yahoo.com
LeBron James Connected to Cleveland Cavaliers Homecoming

While LeBron James is still making his decision about where he wants to play next year, don't be surprised if he ultimately winds up back where it all started, with the Cleveland Cavaliers. After eight strong seasons with the Los Angeles Lakers, James is a free agent at the age of 41, and he has ...

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Jul 14 • 12:17 PM EDT • Sports • sports.yahoo.com
Crunchyroll Store to Become Exclusive to Mega/Ultimate Fan Tiers in August

Open orders will continue to process, including those for items released after store transitions

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Jul 13 • 8:00 PM EDT • Technology • animenewsnetwork.com
Scripting the Cowboys ultimate return to Super Bowl glory

How legitimately possible do you think it is that the Cowboys could make a Super Bowl run?

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Jul 13 • 6:00 PM EDT • Sports • sports.yahoo.com
Cut Business Software Costs With This $35 Microsoft Bundle

Upgrade one work PC without adding a monthly bill.

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Jul 13 • 9:00 AM EDT • Business • entrepreneur.com
Where does Alec Anderson ultimately play with Bills in 2026?

Is Anderson the starter at left guard, or is he set to reprise his role as Jack-of-All-Trades off the bench?

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Jul 13 • 7:37 AM EDT • Sports • sports.yahoo.com
Islam Makhachev trolls Conor McGregor following UFC 329 injury

Ultimate Fighting Championship titleholder Islam Makhachev poked fun at Conor McGregor following the Irishman’s anticlimactic defeat to Max Holloway.

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Jul 13 • 2:26 AM EDT • Sports • sports.yahoo.com
Viewpoint: SCOTUS strikes a blow against junk science in Bayer glyphosate case. Will it deter mass tort litigators?

Mass tort litigation grows like weeds. Last week, the Supreme Court created the ultimate lawsuit-killer by rejecting state court claims that conflict with

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Jul 13 • 12:01 AM EDT • Science • geneticliteracyproject.org
'House of the Dragon' Season 3, episode 4: Ormund has the ultimate WFH situation

Gimme that bath desk.

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Jul 12 • 10:00 PM EDT • Entertainment • mashable.com
Former Lions Star Linked To Matthew Stafford And The Rams

Taylor Decker’s time with the Detroit Lions has officially come to an end after the veteran left tackle and the organization failed to resolve a contract impasse.Following unsuccessful negotiations on a new deal earlier this offseason, Decker asked to be released, and the team ultimately granted his request. However, Decker remains a free agent and […] The post Former Lions Star Linked To Matthew Stafford And The Rams appeared first on HEAVY.

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Jul 12 • 4:56 PM EDT • Sports • sports.yahoo.com
I found a hidden Chrome feature that made my browser the ultimate productivity tool

This is the Chrome upgrade I didn't know I needed

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Jul 12 • 6:00 AM EDT • Technology • androidpolice.com
PFF unveils ultimate Bills roster from past 20 years

Pro Football Focus built the ultimate Buffalo Bills starting lineup of the last 20 years using its player grades.

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Jul 11 • 3:00 AM EDT • Sports • democratandchronicle.com
The McLaren 788HS is the Marque's First New Car Since 2024

McLaren's first new supercar since 2024 is the 788HS, which is also the ultimate version of the mid-engine 720S that debut in 2017.

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Jul 10 • 1:00 PM EDT • Technology • robbreport.com
GTA 6 Preloading: Start Date And What To Know About Digital And Physical Copies

GTA 6 approaches.

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Jul 10 • 12:42 PM EDT • Technology • gamespot.com
The ChatGPT "Super App" Sort of Super Sucks

Even if it's ultimately the right call, the new Mac app is a mess...

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Jul 10 • 9:04 AM EDT • Technology • spyglass.org
New Pinarello Dogma X is the "ultimate" endurance bike with an outstanding price tag

Pinarello’s new Dogma X is described as the ultimate ‘all-road’ bike, engineered for riders who live for long days in the saddle.

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Jul 10 • 8:00 AM EDT • Technology • bikeradar.com
Mamdani’s preening arrogance will ultimately prove his downfall

The democratic socialist balloon deflated this week.

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Jul 10 • 8:00 AM EDT • Politics • thehill.com
How Beauty Brands Can Build Intuitive Customer Journeys

At The Business of Beauty Global Forum 2026, BoF’s Annabel Bolton sat down with Klaviyo’s vice president of product marketing Kelly Thacker to unpack the ever-evolving customer path to purchase, and how brands can future-proof their strategies for both discoverability and, ultimately, loyalty.

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Jul 10 • 12:00 AM EDT • Business • businessoffashion.com
Unearthed records reveal Dem mayor sought tax hike to fund DEI role ahead of key House race

Scranton's mayor once proposed a 3% property tax increase to fund a DEI coordinator role, a budget her city council ultimately cut without fanfare.

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Jul 9 • 5:34 PM EDT • Politics • foxnews.com
Johnson reveals why City Hall abandoned its $3.2B bid for parking meters

Mayor Brandon Johnson disclosed new details about Chicago's $3.2 billion bid to buy back the parking meter system and why City Hall ultimately walked away ahead of a key City Council vote.

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Jul 9 • 3:21 PM EDT • Business • chicagobusiness.com
How to Bring More Data Science to YouTube and Creator Media

I am constantly writing about the challenge facing agencies and brands when in comes to YouTube. Is it TV? Social video? Search? Commerce? Do you fund it from all of those respective budgets, and measure it using all their respective metrics? Sean Odlum, Chief Product Officer at Tinuiti, says it may not make sense to try and “bucket'“ YouTube. “You kinda gotta treat it as its own thing,” he said. “Years ago, we had debates [along the lines of] ‘what is this?’ Ultimately we decided, it’s YouTube. It is hard to categorize because it is so protean.” Which ultimately means that almost every part of a media department or marketing group will likely touch YouTube in some fashion. And that it probably needs its own sets of metrics and measurement tools. At Tinuiti, that need has led the agency to develop the YouTube Intelligence Suite, which aims to help brands optimize YouTube campaigns while using all the traditional marketing tools they are used to, such as MMMs. “I wouldn’t say there is a YouTube playbook,” Odlum said. “[For media planners] there is this vast bubbling ocean, so where do you start?’ A lot of brands and agencies struggle.” “You don’t want to just brute-force it—spray dollars everywhere and eventually learn. You want to start intelligently and then learn iteratively.” The problem, Odlum and his team have found, is that “brands have largely defaulted into demand generation campaigns because they’re easier to measure.” However, “you can really build your own content ecosystem around these trusted experts.” Check out the full interview here: Thanks for reading Next in Media! Subscribe for free to receive new posts and support my work. Subscribe

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Jul 9 • 8:42 AM EDT • Science • mikeshields.substack.com
The McLaren 788HS Is the Ultimate Evolution of the 750S

Limited to just 200 examples, McLaren's "definitive and final" 720S successor inches ever closer to the 800-hp benchmark.

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Jul 9 • 2:45 AM EDT • Technology • roadandtrack.com
The Lexington Problem: Beating the Literacy Odds Without the Science of Reading

Aldeman: As Massachusetts implements a new literacy mandate, officials must not lose sight of the ultimate goal: helping more students learn to read

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Jul 8 • 6:30 AM EDT • Science • the74million.org
Lionel Messi is the ultimate summer romance: Why he's so beloved

I knew Lionel Messi would be the headliner of this World Cup, but I didn't expect to fall so hopelessly in love with him.

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Jul 8 • 6:00 AM EDT • Entertainment • latimes.com
How a 'philosophical' change sparked Leclerc's Silverstone turnaround

Charles Leclerc has revealed the "philosophical" change that prompted him to make adjustments midway through the British Grand Prix weekend, a move that ultimately paid off as he went on to win the race. The Monegasque returned to winning ways after a drought of almost two years, during which he watched his teammates, first Carlos Sainz and then Lewis Hamilton, claim victory while he was left waiting.

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Jul 8 • 2:01 AM EDT • Sports • sports.yahoo.com
Katie Couric suffers stroke scare, diagnosed with temporary amnesia

Katie Couric, 69, reveals she recently had a ‘freaky’ incident that turned into a stroke scare before she was ultimately diagnosed with temporary amnesia.

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Jul 8 • 12:38 AM EDT • Entertainment • ew.com
Zooey Deschanel went blonde to play pop star ‘like Britney Spears’ before landing ‘Elf’ role

Zooey Deschanel nearly played a Britney Spears-esque pop star in a film that was ultimately shelved, which nevertheless required her to go blonde, which she kept for her role as Jovie in ‘Elf.’

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Jul 7 • 11:39 PM EDT • Entertainment • ew.com
Randi Mahomes speaks at Ultimate Sports Parent Experience on South Plains

Patrick Mahomes' mother shares lessons on staying involved in kids' sports

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Jul 7 • 6:56 PM EDT • Sports • kcbd.com
The Ultimate NOLA Golf Experience 2026 at Five O Fore Golf + Entertainment

New Orleans, La. (WGNO) — FIVE O FORE GOLF + ENTERTAINMENT is New Orleans’ premier golf entertainment venue, featuring three levels of interactive golf bays, live local music, and one of the bigges…

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Jul 7 • 6:05 PM EDT • Entertainment • wgno.com
2027 Porsche 911 GT3 S/C First-Drive Review: The Ultimate 911, Actually

All the engagement of a Porsche 911 GT3, with all the thrill of sky and sound. What more could you want?

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Jul 7 • 8:00 AM EDT • Technology • thedrive.com
Clinical care, community service shape health science major’s goals

Inspired by his parents, Platinum Liang ultimately plans to pursue medical school.

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Jul 7 • 8:00 AM EDT • Science • showme.missouri.edu
Clinical care, community service shape health science major’s goals

Inspired by his parents, Platinum Liang ultimately plans to pursue medical school.

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Jul 7 • 8:00 AM EDT • Health • showme.missouri.edu
Is Travis Etienne Jr. the Saints’ Ultimate 2026 X-Factor?
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Jul 6 • 9:19 PM EDT • Sports • sports.yahoo.com
Xbox sale round-up July 7, 2026

New Xbox sales are now live, with big discounts on Atomic Heart, Dragon Ball FighterZ, DEATHLOOP, Dead Cells, Redfall, Dragon Ball Xenoverse 2, Naruto Shippuden: Ultimate Ninja Storm 4 and more

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Jul 6 • 8:10 PM EDT • Technology • trueachievements.com
Analyst Names Jaguars’ ‘Most Promising Building Block’

Despite Trevor Lawrence's MVP-caliber rise, a surprising two-way star emerges as Jacksonville’s ultimate cornerstone. Discover why this versatile playmaker holds the key to the franchise's long-term dominance.

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Jul 6 • 3:45 AM EDT • Sports • sports.yahoo.com
Bulls rookie Caleb Wilson reveals his favorite sport before basketball

Recent No. 4 overall pick Caleb Wilson revealed that baseball was his favorite sport growing up, before he ultimately chose basketball.

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Jul 5 • 8:05 PM EDT • Sports • sports.yahoo.com
Where to preorder Grand Theft Auto VI

Here’s what you get with your preorder.

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Jul 5 • 12:00 PM EDT • Technology • theverge.com
Tobias Harris explains decision to leave Pistons, sign with Spurs

The Detroit Pistons wanted to retain Tobias Harris in free agency, but ultimately he spurned the Pistons in favor of signing with the San Antonio Spurs on a two-year, $31 million contract. In an exchange with HoopsHype, Harris provided some insight into his decision to leave Detroit for San Antonio. “The urgency to win a championship," Harris said.

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Jul 3 • 10:07 PM EDT • Sports • sports.yahoo.com
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Echoes of Aincrad: Sword Art Online

Bandai Namco has released an 18-minute preview of the feature-length promotional animation Sword Art Online: Unanswered//butterfly included with the Echoes of Aincrad: Sword Art Online Ultimate Edi…

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Jul 3 • 3:00 AM EDT • Technology • gematsu.com
Oakland sports standings: Roots playoff push, ultimate frisbee dominance

Plus the Ballers' home run leader, the Unicorns’ promising cricket season and the rise of some local youth weightlifting champions.

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Jul 2 • 4:38 PM EDT • Sports • oaklandside.org
NEW Best In Games Warren: Metro Detroit’s Ultimate Indoor Family Entertainment Center

Located at 28300 Dequindre Road, this massive entertainment destination features everything from an enormous indoor playground and laser tag to go-karts, bowling, arcade games, and even axe throwing…

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Jul 1 • 4:33 PM EDT • Entertainment • littleguidedetroit.com
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LA sports radio host torches Lebron in blistering reaction: ‘Wasn’t a Laker’

The longtime broadcaster also suggested the split ultimately boiled down to money, saying he believes contract negotiations played a larger role than basketball considerations.

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Jun 30 • 9:11 PM EDT • Sports • sports.yahoo.com
Rockstar workers push to unionize ahead of GTA VI’s launch

More game workers are looking to unionize.

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Jun 30 • 1:04 PM EDT • Technology • theverge.com
The ultimate July entertainment lineup is coming to The World Theatre
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Jun 30 • 12:00 PM EDT • Entertainment • nebraska.tv
Supreme Court lifts Watergate-era caps on campaign spending

The Supreme Court on Tuesday lifted a Watergate-era cap on how much money political parties may spend in coordination with candidates, siding with Republicans in a case initially filed by then-Senate candidate JD Vance that experts say could ultimately benefit the GOP in this year’s midterm election.

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Jun 30 • 10:26 AM EDT • Politics • cnn.com
Disastrous GTA 6 Pre-Order Numbers Revealed By Store Staff

GTA 6 pre-orders opened last Thursday and it is speculated millions, potentially tens of millions of people, have already parted ways with $70 to $100 ahead of launch. However, physical sales of t…

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Jun 30 • 7:05 AM EDT • Technology • rockstarintel.com
Think Insurance Denials Only Hurt Patients? Why Business Owners Are Paying the Ultimate Price

A simple 9-week delay for a critical medication resulted in a $50,000 surgical nightmare. Here is how healthcare bureaucratic delays quietly destroy your company's bottom line.

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Jun 30 • 5:00 AM EDT • Business • inc.com
New York Yankees’ Jazz Chisholm Jr. Exits Game Against Tigers

The New York Yankees have been struggling in recent games, and their ballclub is continuing to spiral. In the fourth inning, Jazz Chisholm Jr. collided with Jasson Domínguez, ultimately knocking Chisholm to the ground. Status alert: Jazz Chisholm Jr. leaves game Monday.pic.twitter.com/5XyTh98wIX — Underdog MLB (@UnderdogMLB) June 30, 2026 Chisholm exited the game following the […] The post New York Yankees’ Jazz Chisholm Jr. Exits Game Against Tigers appeared first on HEAVY.

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Jun 29 • 8:32 PM EDT • Sports • sports.yahoo.com
Tilak Varma enters unwanted record books after slowest-ever...

Tilak Varma's resilient half-century was a lone bright spot for India in their narrow one-run loss to Ireland, despite becoming one of the slowest Indian fifties in T20Is. Walking in during a top-order collapse, Varma battled tough conditions to reach his milestone. Ultimately, Ireland secured a historic series win, ending India's impressive streak.

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Jun 29 • 1:00 AM EDT • Sports • sports.yahoo.com
Being broke costs you 13 IQ points, according to science. Here's the number that changes everything.

CreditNinja reports that saving your first $10,000 unlocks financial stability, improving decision-making and reducing stress, ultimately boosting cognitive function.

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Jun 28 • 6:00 PM EDT • Science • wxow.com
Claims GTA 6 is selling 8 times as many copies on PS5 as Xbox "doesn't represent pre-order data", insists Microsoft

Microsoft has refuted claims that its rival system, the PlayStation 5, is outselling the Xbox edition of Grand Theft Auto 6 by a rate of 8-to-1.

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Jun 28 • 3:04 PM EDT • Technology • eurogamer.net
Lyles to take charge of Ultimate Championship entertainment

Noah Lyles has been announced as an Ultimate Star for the World Athletics Ultimate Championship, taking place from September 11-13 in Budapest, Hungary.Lyles, the dominant US sprinter who has won consecutive 200m golds at the past four World Championships, is locked in to compete at the inaugural edition of the new global championship. Lyles has earned automatic qualification into both the 100m and 200m by virtue of his podium-topping performances in those disciplines at the Paris 2024 Olympic Games and the World Athletics Championships Tokyo 25, respectively.

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Jun 28 • 10:21 AM EDT • Entertainment • jamaica-gleaner.com
‘People should wait for real data’: Xbox refutes claims that GTA 6 on PS5 is outselling Xbox 8-to-1

Xbox says it’s “had record orders” for the next Grand Theft Auto…

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Jun 28 • 7:47 AM EDT • Technology • videogameschronicle.com
GTA 6 has no plans for a post-launch physical release, "not at launch, and not months later", insists new report

A new report has cast doubt on news that a physical version of Grand Theft Auto 6 will follow the digital release later this year after all.

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Jun 27 • 10:45 AM EDT • Technology • eurogamer.net
Some paid the ultimate price to enact voting rights. Their survivors see America turning backward

It’s been six decades since the Voting Rights Act was enacted

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Jun 27 • 8:12 AM EDT • Politics • washingtonpost.com
With GTA looming, consoles are getting expensive at the worst possible time

Vice City ain’t cheap.

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Jun 26 • 8:00 AM EDT • Technology • theverge.com
World Cup brings a boost to bar and restaurant businesses across the Piedmont-Triad

Bars and taprooms across the Piedmont-Triad are extending their hours and providing the ultimate experience as the World Cup enters its second week.

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Jun 26 • 4:18 AM EDT • Business • wxii12.com
UFC Baku early weigh ins results

Ultimate Fighting Championship (UFC) will stage its early and official weigh ins at 9 a.m. local time for this weekend’s UFC Baku mixed martial arts (MMA) event on Paramount+. Unfortunately for stateside fight fans, Baku is eight hours ahead of Eastern Standard Time, so most of us will be asleep by the time the first […]

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Jun 25 • 11:30 PM EDT • Sports • sports.yahoo.com
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Digital-Only 'Grand Theft Auto VI' Is a Car Crash for Physical Media

Not all progress is progress.

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Jun 25 • 6:29 PM EDT • Technology • hollywoodreporter.com
Making Our Own Luck

We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.

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Jun 25 • 4:48 PM EDT • Science • goodscience.substack.com
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Trump’s Ultimate White House Health Cover-Up Is Exposed: Author

The president’s famous “transparency” has been questioned.

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Jun 25 • 1:48 AM EDT • Health • thedailybeast.com
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'GTA VI' preorders open for PS5 and Xbox: Price, bonuses, Ultimate Edition exclusives

All preorders come with a bonus Vintage Vice City Pack.

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Jun 25 • 12:00 AM EDT • Technology • mashable.com
GTA VI is a worrying sign for the future of physical games

Your GTA VI box will have a download code, but not a disc.

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Jun 24 • 2:42 PM EDT • Technology • theverge.com
GTA 6 Ultimate Edition Pre-Order Details Confirm Major New Gameplay Features, Giving Players A First Look At Safehouses And Custom Vehicles

The latest GTA 6 Ultimate Edition news reveals plenty of fresh gameplay details, including fishing, fencing, fixing up classic cars and much more.

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Jun 24 • 11:36 AM EDT • Technology • ign.com
New GTA 6 Gameplay Footage Shows Incredible Vice City Beach Details

[responsivevoice_button] Rockstar Games have just released a new look at GTA 6. Alongside the GTA 6 pre-order info such as price, 60+ screenshots and more, Rockstar Games have provided fans with a…

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Jun 24 • 8:40 AM EDT • Technology • rockstarintel.com
Celtics' star Jaylen Brown's future remains murky

His name surfaced in trade talks for Giannis Antetokounmpo, who was ultimately traded to the Miami Heat. Boston's offer, including Brown and draft picks, wasn't enough to top Miami's.

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Jun 24 • 7:35 AM EDT • Sports • spectrumlocalnews.com
Samsung Galaxy Watch Ultra 2 redesign leaked in high quality official press renders

One of the most well-known leakers came out of his retirement just to show us the partially adapted design of the Galaxy Watch Ultra successor in form of high-quality official render images. The ultimate Samsung smartwatch definitely adopts elements of the Galaxy Watch Classic8, some specs have also been confirmed.

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Jun 24 • 2:50 AM EDT • Technology • notebookcheck.net
Here's Why Boston Celtics Failed to Complete Trade For Giannis

The Celtics made a strong offer for the two-time MVP, but he was ultimately dealt to the Miami Heat.

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Jun 23 • 10:00 AM EDT • Sports • sports.yahoo.com
Nintendo Switch Sports Resort confirms 100 Pin Bowling, here's a first look

Nintendo Switch Sports Resort, which was recent announced, has confirmed that 100 Pin Bowling will be included. Nintendo itself shared the news, posting a screenshot on its Japanese website. 100 Pin Bowling was a part of the original Wii Sports Resort. It’s still ultimately about bowling, but the mode is set up in a triangular formation and obviously has you...

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Jun 20 • 6:00 PM EDT • Technology • nintendoeverything.com
Will Dodgers Call Up or Trade River Ryan?

Elite strikeout numbers have River Ryan surging in Triple-A, leaving Los Angeles to decide if the rehabbing righty is a future rotation staple or the ultimate trade chip.

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Jun 20 • 2:00 PM EDT • Sports • sports.yahoo.com
Jason Bateman reveals Katharine Hepburn told him to 'stop acting,' offering 'really great' but 'painful' advice

Jason Bateman said that Katharine Hepburn gave him 'painful' advice that confused him at first but ultimately proved to be 'really great' wisdom as he struggled through a scene: 'Stop acting.'

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Jun 20 • 12:43 PM EDT • Entertainment • ew.com
Welch's First New Jelly In 30 Years Is the Ultimate PB & J Upgrade

Welch's has released a new Four Berry Spread made with blackberries, blueberries, strawberries, and raspberries, plus other new spreads now in stores.

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Jun 20 • 8:00 AM EDT • Technology • allrecipes.com
The Sun may not engulf Earth after all, scientists say

Need some good news on a Friday after a long week? The Earth may not be engulfed by the expanding fireball of the dying sun, which has long been assumed to be our home planet's ultimate fate, according ...

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Jun 19 • 3:40 PM EDT • Science • phys.org
Haute Living Las Vegas: The Ultimate Guide to Luxury in the Entertainment Capital

Haute Living Las Vegas — luxury resorts, five-star dining, nightlife, entertainment, and the high-roller lifestyle. The definitive Vegas luxury guide.

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Jun 19 • 7:57 AM EDT • Entertainment • hauteliving.com
Beyond politics, a well still needs water

Joint projects between Jews and Muslims may ultimately do more to advance understanding than a hundred conferences about understanding.

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Jun 17 • 4:06 PM EDT • Politics • ejewishphilanthropy.com
75% of fathers feel isolated. Let's talk about mental health for dads

"Many men, especially fathers, ignore their mental health struggles because of pressure to live up to their family’s and society’s expectations to appear in control, invulnerable," writes Andrew Reiner. "Ultimately, this hits men with a double gut punch: It compromises their mental health, and then their mental health symptoms go untreated."

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Jun 17 • 1:02 AM EDT • Health • wbur.org
Merchants of Doubt and the attacks on Extreme Event Attribution science

Last week, I attended a meeting at Columbia University on attribution science and climate law, hosted by the Sabin Center. It was a fantastic event, bringing together scientists and legal experts working at the intersection of extreme event attribution and climate law. Subscribe For those unfamiliar with it, extreme event attribution attempts to quantify the contribution of climate change to an extreme event. For example, several groups analyzed the impact of climate change on Hurricane Harvey’s enormous rainfall totals over Houston, Texas and they found that climate change increased rainfall by 15 to 38%. One thing that came up again and again was how terrified fossil-fuel interests are of extreme event attribution science. They are acutely aware that this research could land them in court. And losing those cases would leave them legally liable for billions of dollars in climate damages. Because the legal stakes are so high, the blowback has turned ugly. I spoke with several scientists at the meeting who are facing ongoing harassment over their work. This blowback is a coordinated campaign to make the entire field look suspect. The goal is to create the impression that attribution science is too uncertain, too political, or too conflicted to be useful in court or in public policy. The strategy is not based on actual science or evidence of misconduct, but on the generation of doubt. The new Merchants of Doubt We’ve seen this before. In fact, not that long ago: We only have to go back a year to the Department of Energy (DOE) Climate Working Group (CWG) report to see an example of using doubt as the tool to push back against well-established science. This strategy is laid out in an email from a member of the CWG, Dr. Roy Spencer, that was released during litigation over the Climate Working Group process. The key quote is: About all I can hope is that what we write will provide sufficient “reasonable scientific doubt” regarding the science claims in the 2009 TSD [technical support document], based upon almost 2 decades of new science, to call into question the original reasoning for the EPA Administrator’s decision that CO2 presents a threat to human health and welfare. This statement is strong evidence that at least some members of the committee were working to support a particular policy outcome: revoking the Endangerment Finding. The email also explains how they planned to do it: by attempting to generate “reasonable doubt”. This is going to be hard, Spencer implies. Despite falsely claiming that “2 decades of new science” weakens the case, Spencer explicitly acknowledges that the actual peer-reviewed science of climate change overwhelmingly rejects his position: But if the science argument is decided upon by a vote, or by the number of published citations, we lose the science argument. We can go back even further: This CWG email shares unmistakable DNA with the infamous 1969 tobacco memo that declared: “Doubt is our product, since it is the best means of competing with the ‘body of fact’ that exists in the mind of the general public. It is also the means of establishing a controversy.” The tobacco memo also acknowledges the limit of this strategy: Like the CWG, they knew the science was not on their side. Share The new new Merchants of Doubt The people attacking the IPCC chapter on extreme event attribution are the newest iteration of the Merchants of Doubt. Their goal, like all Merchants before them, is to introduce doubt into the process. Because the report is not even out yet, they cannot attack its conclusions. So they are attacking the authors instead. Here is a press release from the House Science, Space, and Technology Committee: In the letter, the Chairmen express concerns about potential conflicts of interest involving members of the Attribution Committee, stating that “publicly available information suggests a troubling pattern” in which committee members are affiliated with nonprofits that support climate accountability lawsuits, “raising the appearance of impropriety and member bias.” To be clear, this is just innuendo. There is no actual evidence of bias. And given the robust process that these reports go through, including multiple lines of peer review, it seems very unlikely that significant bias can survive into the report. When the report comes out, critics will have the opportunity to make legitimate criticisms of the report — if any exist. If none do, however, they’ll still make criticisms, but they’ll be bogus, simply designed to generate doubt. We’ll see. A note to the press: Fix your frame To any journalists reading this: The public debate over extreme event attribution science is not going away. The science is simply too dangerous to fossil-fuel interests for them to stop fighting it. You very well might be assigned to write an article about this area of research in the future. When you do, do not automatically adopt the framing that climate misinformers want you to use. They want you to frame the story around questions like: Are climate scientists trying to put their thumb on the scale to achieve a predetermined, politically motivated result? Are climate scientists improperly letting their politics invade the science of the IPCC? That frame is a trap. Instead, you need to view this through the historical lens of the Merchants of Doubt. How does the ecosystem of doubt operate? Who funds it? What methods do they use to misrepresent science and slime researchers? What scientific results are they trying to keep people from understanding are legitimate? Ultimately, you instead need to focus your article on the generation of doubt as a way to maintain the fossil fuel industry’s social and legal license to keep burning oil, gas, and coal. If you treat the misinformers’ frame as a legitimate, good-faith scientific critique, you are helping them produce doubt. Don’t do it. Don’t be a Merchant of Doubt. Thanks for reading The Climate Brink! Subscribe for free to receive new posts and support our work. Subscribe other stuff The Staying Curious Substack has an interesting post about the different flavors of climate sensitivity. This is crucial information if you want to understand how scientists think about how much warming the Earth will experience. I’d be grateful if you could hit the like button ❤️ below! It helps more people discover these ideas and lets me know what’s connecting with readers.

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Jun 16 • 4:55 PM EDT • Science • theclimatebrink.com
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'Clarke to drop Shankland for Christie or McLean'

If we rewind 36 years to 16 June 1990 and the Italian city of Genoa, Stuart McCall was busy scoring to help Scotland secure a 2-1 win over Sweden. The former midfielder jokes that he "was always deadly from a yard out" and ultimately that victory wasn't enough to ensure Scotland progressed to the knock-out stage, but up until this weekend, it was their last win at a World Cup finals. Now the 62 year-old is assistant to Paul Heckingbottom at Preston North End, but he's also enjoying absorbing all the action from the United States, Canada and Mexico.

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Jun 16 • 6:48 AM EDT • Sports • sports.yahoo.com
Dana White called a UFC fighter’s Michelle Obama insult ‘nonsense.’ The White House isn’t commenting on it

Less than 24 hours after a UFC fighter used a highly publicized White House match to lob a false insult at former first lady Michelle Obama, Ultimate Fighting Championship CEO and President Dana White called it “nasty and false,” dismissing it as “nonsense.”

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Jun 15 • 1:34 PM EDT • Politics • cnn.com
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Tarleton State named 2025-26 WAC Commissioner’s Cup champions, conference award for overall performance across all sports

STEPHENVILLE, Texas – After eight conference championships in 2025-26, Tarleton State Athletics claimed the ultimate prize for overall performance across all sports – the Western Athletic Conference Commissioner's Cup. The WAC announced on Monday that Tarleton State is the 2025-26 WAC Commissioner's Cup champion, the Texans' first time winning it all in their sixth year in the conference.

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Jun 15 • 9:00 AM EDT • Sports • tarletonsports.com
Ultimate Marvel vs. Capcom 3 just received its first significant patch in nearly a decade on Steam, but it appears to have broken more than it fixed

A surprise update to Ultimate Marvel vs. Capcom 3 on Steam has broken one of its most powerful characters.

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Jun 15 • 7:15 AM EDT • Technology • eurogamer.net
Is SMIC N+3’s Metal Pitch Smaller than Intel 18A’s?

Almost four years ago, we published that SMIC had started shipping 7 nm (N+1) chips. Now, SMIC is shipping its third-generation 7 nm (N+3) process in Huawei’s Kirin 9030, with a minimum metal pitch of 32.5 nm, about 10% tighter than the 36 nm minimum metal pitch shipping in Intel’s latest Panther Lake CPUs on 18A. The headline is true, but incomplete cherry picked metric. N+3 reaches the density of TSMC N6 through aggressive DUV multi-patterning and design-technology co-optimization (DTCO), but it pays for that in complexity, efficiency and process control. We found this and more in our reverse engineering and teardown where we cover SMIC’s N3 process technology, Huawei’s packaging, memory, architecture, and more. SemiAnalysis has been building a state-of-the-art teardown lab in Oregon capable of analyzing the world’s most advanced and important chips over the last year and half. We have already generated revenue on advanced datacenter chip teardowns including our recent reverse engineering of a major TSMC customer’s COUPE CPO optical engine + EIC 3D stack. This is the first public report from the SemiAnalysis Teardown Engineering & Evaluation Lab, or STEEL for short. The lab is aggressively scaling up and out and we’re excited to announce it publicly. This is a bit of inconvenient timing for TechInsights as they are private equity owned and currently being sold while having enjoyed virtually no credible competition for decades. This has led to TechInsights underinvesting in CAPEX. SemiAnalysis exceeds TechInsights in revenue despite no venture or private equity ownership and being founded only 6 years ago. Because we have no external investors and are founder led, we move faster, build faster, and we can release client chip teardowns for free regularly, while focusing on datacenter for our major clients. Here’s the first public image from our lab, the HiSilicon Kirin 9030 Pro SoC: This report will detail our teardown of the Kirin 9030 and our findings on SMIC’s N+3 process, the most advanced in China. For comparison, we’ll show our teardown of the MediaTek Helio G99, made on TSMC N6. Through this comparison, we can look at the effect of export controls – SMIC N+3 and TSMC N6 are comparable nodes, but one is heavily export-controlled, the other free to use the West’s most advanced equipment. Here we see both China’s progress and constraints. SMIC N+3 reaches TSMC N6-class logic density, but it requires far more aggressive DUV multi-patterning, so it does not match N6 on process maturity or cost. The Kirin 9030 Pro performs similarly to three-year-old Android flagships, and trails far behind the current flagship SoCs from Apple, Qualcomm, MediaTek, and Samsung. The efficiency gap is even wider. Export controls have not stopped Huawei and SMIC from shipping advanced silicon, but they have forced a different path. Without EUV, SMIC is leaning harder on DUV multi-patterning, DTCO, and increasingly complex integration. The roadmap continues forward through tighter design rules and backside power, but each step adds cost and process risk. Huawei’s τ scaling and LogicFolding show another path: stacking active logic and recovering density through advanced packaging and system-technology co-optimization (STCO). To understand the Kirin 9030, we must first understand Huawei’s SoC history. HiSilicon is Huawei’s chip design arm, responsible for the Kirin smartphone SoCs, Kunpeng server CPUs, Ascend AI accelerators, and switch/router networking silicon. Before export controls, Huawei was TSMC’s largest customer – the only customer on TSMC’s first EUV node, N7+, and among the first on N5, alongside Apple. That ended in late 2020. Huawei switched to Qualcomm SoCs in its flagship smartphones, though export controls limited them to 4G-only variants. In late 2023, Huawei returned to in-house silicon with the Kirin 9000s, a successor to the Kirin 9000, fabricated on SMIC N+2 instead of TSMC N5. In the following years, they released the Kirin 9010 and 9020 on the same N+2 process. These chips used Huawei’s in-house TaiShan CPU cores and Maleoon GPU. We have not torn down a Kirin 9020 ourselves, so the predecessor die shot is from Kurnal. The die shots show how Huawei spent its silicon budget: which functional blocks are where, and how their areas compare to the predecessor. First, a quick guide to the major blocks on the die. The total die area is nearly identical, but the 9030 uses that area more aggressively. A denser process lets Huawei fit an extra middle CPU core, more GPU and NPU cores, and larger caches into the same footprint. In contrast, the Helio G99 is a much smaller, low-cost SoC, built for budget smartphones rather than a flagship device. While the Kirin 9030 is ~140 mm², the G99 is only ~29 mm², roughly one-fifth the area. The underlying TSMC process technology, however, is directly comparable as a baseline for analyzing SMIC’s. The Kirin 9030 is an evolutionary refresh, not a clean-sheet design. Its CPU, GPU and NPU cores carry over the 9020’s families, and the gains come from three levers: the SMIC N+2-to-N+3 process step, DTCO and floorplan work, and incremental microarchitecture. Area is where the first two show up, and the 9030 scales well here. Performance and efficiency are the harder test. Huawei’s design holds up better than its node would suggest, but the chip still trails, both because N+3 sits behind the leading-edge nodes and because its cores, while competent, remain a few generations behind the newest designs. The new prime core is an incremental update. The main changes are a 10% frequency increase from 2.5 GHz to 2.75 GHz and a doubling in the L2 cache from 1 MiB to 2 MiB. Despite the increased cache, the core size decreased by 7.6%. Excluding the private L2 cache, the core size decreased by 21%. This is a large reduction for an incremental node. Compared with the TaiShan New V120 core in the Kirin 9020, the Kirin 9030’s middle core is almost unchanged architecturally, yet each core shrinks by ~22%. Most of that comes from the move from N+2 to N+3, with layout likely accounting for the rest. Visually, the most noticeable change is the increase from 3 middle cores to 4. There is also a 20% increase in the shared L3 cache of the big cluster. This helps to improve multi-core performance without sacrificing much in terms of area. Even with each core shrinking, the big CPU cluster’s total area is essentially unchanged. The per-core savings went back into an additional middle core and larger caches. The tiny cores shrank less than the prime core (excluding its L2 cache) and less than the middle cores. This is likely because fixed overhead is a larger share on a small core. We cannot resolve any architectural changes from the die shot alone, but the per-clock and efficiency gains shown below point to more than pure process and layout scaling. The area reduction was offset by a doubling of the shared L2 cache from 2 MiB to 4 MiB, leaving the total tiny CPU cluster area slightly larger. Area is the easiest improvement to see from a die shot, but it is only one part of PPA (power, performance, area). For modern logic, power and performance matter just as much, and often more. Since Dennard scaling broke down in the mid-2000s, voltage and frequency have not scaled in step with transistor dimensions, so each node has had to fight harder for gains in performance and efficiency. The starkest comparison is not Kirin 9020 versus Kirin 9030 Pro. Apple’s efficiency cores run circles around Huawei’s prime core. Apple’s low-power core delivers 20% higher integer performance while drawing only 1 W, compared with 4.5 W for Huawei’s prime core. N+3 matches TSMC N6, but N6 is several generations old. Apple and Qualcomm build on N4 and N3P, which are denser and sit on a better voltage-frequency curve, giving them a larger transistor budget and more performance per watt. The 9030’s own cores did improve. The middle and tiny cores gained 17% and 14% in per-clock integer performance over the 9020, with floating-point flat on the middle core and up 11% on the tiny. The tiny core improves cleanly, with performance rising while power falls and efficiency increases by 45% in integer and 24% in floating point. The middle core is mixed: integer performance rises but power rises faster, cutting integer efficiency by 7%, while lower power lifts floating-point efficiency 16%. Per-clock gains at the same or lower frequency are microarchitectural, so the cores are tuned, not just shrunk. Both also failed to hold their rated maximum frequencies, pointing to thermal, power, or stability limits. Per clock, the middle core sits around Arm Cortex-A720 and the tiny core near the Cortex-A520; absolute performance trails because Huawei clocks them much lower. The prime core is roughly Cortex-X2 class per clock, a 2021 design. Apple’s 2020 M1 Firestorm core is still 35% higher per clock and 57% faster in absolute integer performance at a similar 4.5 W. The current leading edge is further ahead again: the Apple M5 P-core is 60% higher per clock and 2.7× faster, the Arm C1 Ultra 45% higher and 2× faster. Matching older high-end cores per clock is a genuine design achievement. What Huawei cannot match is the voltage-frequency curve and transistor budget of leading-edge nodes, which let Apple, Qualcomm and others spend more transistors in the same area on wider cores, larger caches and deeper buffers while running at lower voltage. Huawei’s LogicFolding roadmap is one answer, stacking active logic to recover density and shorten signal paths. We return to it later. The GPU compute units (CUs) changed more visibly than the CPU cores, moving to a more rectangular layout for both the arithmetic logic unit (ALU) clusters and the CU overall. Even with ray-tracing support added, a CU shrank ~28%. However, that shrink is offset by the increase from 4 to 6 CUs and the area outside the CUs grew 33%. Overall, the GPU cluster is larger by ~10%. The GPU is where Huawei makes its biggest gains. The Maleoon 935 is not competitive with current flagships, but it is a large step up from the 920 and reaches older-flagship territory. In 3DMark it is 70% faster in Wild Life Extreme (WLE) and 79% faster in Steel Nomad Light (SNL) than the 920; with 11% higher clocks and 50% more CUs, the ~67% theoretical uplift roughly matches WLE and is beaten by SNL. It edges ahead of the Snapdragon 8+ Gen 1 in WLE and SNL, and the Dimensity 9200 and Apple A16 in WLE, but stays far behind newer parts: the Snapdragon 8 Elite Gen 5 and Dimensity 9500 are ~2.4–2.6× faster in WLE and ~3.2× faster in SNL. The Maleoon 935 is Huawei’s first GPU with hardware-accelerated ray tracing; there it lands slightly ahead of the Exynos 2200, and on par with the Apple A16, with current flagships up to 3.7× faster. The Neural Processing Unit (NPU) saw the largest structural changes of any block, moving from a Lite and a Tiny core in the Kirin 9020 to a Lite and two Tiny cores in the Kirin 9030. Both core types also show significant layout changes. This is a reversal in Huawei’s NPU design. The Kirin 9000 5G, its last flagship chip on TSMC N5, used two Lite and one Tiny core. The series of SoCs on SMIC N+2 moved to one Lite and one Tiny core, likely for area savings. With the Kirin 9030, Huawei has shifted back toward a larger multi-core NPU cluster, but with the additional area going to a Tiny core rather than a Lite core. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Before diving into the process stack, the package and memory are worth separating from the SoC itself. The Pro variant of the Kirin 9030 carries 12 GB of Samsung DRAM, with two stacks of four dies each. The dies were identified as the K4L2E165YD, a 12 Gb LPDDR5X-9600 device fabricated on Samsung’s 1a node, the fourth generation of its 10 nm-class DRAM after 1x, 1y and 1z. 1a has shipped in volume since 2022, so this is current memory rather than older-node inventory. The 16 GB Pro Max variants we obtained were found with both CXMT and Samsung packages. The CXMT package is marked CXDD7JEDM, with two stacks of four dies, packaged in week 45 of 2025. The inferred die dimensions from X-ray computed tomography (CT) are consistent with a known density of ~0.3 Gib/mm² for the CXMT G4 process, roughly equivalent to other manufacturers’ 1z processes. The Kirin 9030 uses a typical integrated package-on-package (iPoP) stack: multiple DRAM dies in a memory package sit above an organic redistribution layer (RDL) interposer, which sits above the SoC and package substrate. The full package is then mounted to the printed circuit board (PCB) through ball-grid array (BGA) solder bumps. The memory package substrate is a thin bismaleimide-triazine (BT) laminate carrying the LPDDR5X stack. The organic RDL interposer over the SoC routes the PoP signals around the die and carries possible dummy thermal copper pillars. The package substrate, a thicker Ajinomoto Build-up Film (ABF) build-up over a BT core, fans the flip-chip bumps out to BGA pitch and embeds the power planes. The whole stack is organic. The only silicon is the SoC and the LPDDR5X dies; there is no silicon interposer. Keeping it all-organic brings the package’s coefficient of thermal expansion (CTE) close to the PCB’s, reducing board-level warpage, and avoids the cost of a silicon interposer the SoC’s bandwidth does not need. In an iPoP stack, the memory package connects to the organic RDL interposer through an array of solder bumps. Underfill fills the gap around those bumps, adding stiffness and protecting the joints from mechanical stress. The Pro and Pro Max variants differ here, which we cover behind the paywall. The die shot and architecture tell us how Huawei allocated its silicon budget. The process tells us what SMIC can manufacture. We use the Helio G99 as the process reference for TSMC N6. Both SMIC N+3 and TSMC N6 are evolutions of previous 7 nm-class nodes. We used targeted TEM cross-sections through logic and memory regions, imaged in both fin-cut and gate-cut directions. Each cross-section caption gives its horizontal field width (HFW), the real width of the imaged area. We start at the transistor fins, then move up through standard cells, local interconnect, and SRAM. SMIC has not overtaken Intel or TSMC. It uses aggressive DUV scaling and DTCO to reach N6-class density, but that density doesn’t translate into comparable performance and efficiency, for two reasons: the node gap to leading-edge nodes, and Huawei’s core designs. Fin Profile One of the most important knobs in a FinFET process is the fin profile: the shape of an individual fin and the channel where current passes from source to drain. The ideal fin is tall, narrow, and nearly vertical. A taller fin increases effective channel width, while a narrower fin improves electrostatic control by thinning the body the gate must control. Push either too far, and the process pays for it: weaker drive current, fragile fins, taper, footing and line-edge variation that hit yield and device variability. The Intel 22 nm, 14 nm, and 10 nm fin cross-sections show how FinFET nodes have improved over time. 22 nm fins were a first-generation structure, relatively short, wide and strongly tapered. The shape limits current density and reduces gate control uniformity across the height of the fin. At 14 nm and 10 nm, Intel pushed the fins taller and narrower while also making the sidewalls more vertical. Rather than shrinking the device, these changes increase the effective channel width per fin and improve electrostatic control. The trade-off is that taller fins at tighter pitches are much more difficult to manufacture. Now, let’s compare the Helio G99 on TSMC N6 with the Kirin 9030 on SMIC N+3. Both processes are in the same class, with fin pitch of 30-32 nm on N+3 and 34 nm in our N6 cross-section. The pitch for N6 is especially interesting as N7’s HD library is generally listed with a 33 nm fin pitch, and N6 did not shrink pitches directly. Its density gains came from DTCO instead of tighter pitches. The 34 nm pitch was stable across our sampled region and serves more as a comparison against the SMIC N+3 we have not investigated further. Pinning down N+3’s fin patterning scheme takes more than one core unit. The CPU cores show a dense ~32 nm pitch, with the pitch between N-P fin pairs alternating between 78 and 88 nm. Logic alone may be consistent with dual-pitch mandrels of 120 and 110 nm, but this is a complex and unusual approach. Combining the pitch from the the 8T SRAM, which has more complex repeat unit, with the CPU core sequence allows us to reverse engineer the patterning steps with more confidence. As both the logic and SRAM should share the same base grid, a single CD mandrel lithography pattern with 128 nm pitch undergoing SAQP produces a die-wide ~32 nm grid (128 nm/4), which supports the pitch sequencing seen in both logic and SRAM cells. In the sampled cross-sections, N+3 shows a taller, narrower, higher-aspect-ratio fin than N6. The measured fin aspect ratio is ~9.5:1 on N+3 versus 7.8:1 on N6. N+3 also shows less top rounding, with an estimated radius of ~2 nm, compared with 2.8 nm on N6. Even though the fin widths differ, the ratio of top rounding to fin width tells the same story, with N+3 at 0.37 and N6 at 0.44. In a geometric sense, lower is better; a perfectly rectangular fin would have no top-rounding penalty. These are single-digit-nanometer features measured from a handful of cuts, so treat the absolute numbers as approximate. The important result is the relative gap: N+3’s fins are consistently taller, narrower and less rounded than N6’s. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Standard Cell A standard cell is the basic building block of chip layout: a fixed-height row pairing one NMOS and one PMOS transistor that share a gate, tiled in a grid to build logic blocks. The key dimensions are contacted gate pitch (CGP), cell height (CH), fin count, and the lower-metal routing grid. To measure density, we use the Bohr metric: a weighted average of NAND2 gate area (60%) and scan flip-flop area (40%). This represents a realistic mix of combinational and sequential logic. This metric has its limitations, especially for complex cell layouts like TSMC’s FinFLEX, which alternates cells with different fin counts. Even so, it is the best metric for a pure process-level comparison. Another important measurement is the fin pitch; it refers to the distance between two fins of the same transistor. In a FinFET process, multiple fins are used in each transistor to increase the drive current and thus performance. TSMC N6 ships both a high-density (HD) library with 2 PMOS and 2 NMOS fins per cell, and a high-performance (HP) library with 3 of each. More fins under the shared gate mean more effective channel width. HP cells switch harder at the cost of area. Designers mix the two on a die, primarily spending HP cells on timing-critical paths, and matching their PPA targets. In the Cortex-A55 core of the Helio G99, we found a cell height of 240 nm for the HD cell. MediaTek has used HD cells in the G99 to minimize die size and thus cost. As an SoC for budget smartphones at ~$100, this is essential. By contrast, we found only one library in the Kirin 9030, with 2 NMOS and 2 PMOS fins. This suggests a narrower library strategy than TSMC N6, where both HD and HP libraries are widely used. This likely reflects the smaller customer base and the more constrained domestic design and electronic design automation (EDA) ecosystem. In all three CPU cores of the Kirin 9030, we found cell heights of 228 nm, 5% smaller than on N6. This is also a reduction of 9.5% over SMIC N+2’s cell height of 252 nm. SMIC N+3 and TSMC N6’s HD library both feature a CGP of 57 nm. For SMIC, this is a 9.5% shrink over N+2. In the past, CGP and cell height alone may have been enough to compare transistor density. Now, however, we must consider scaling boosters and DTCO as well. SMIC’s density gain does not come from EUV. It comes from using every available DTCO booster aggressively. First is fin depopulation: reducing the number of NMOS and PMOS fins in each cell. The first FinFET nodes started with 3 or 4 fins for each transistor. SMIC N+3 and TSMC N6 HD both use only 2 fins per transistor, trading drive strength for density. Next is contact over active gate (COAG). By landing the gate contact directly over the active gate, instead of out over the isolation region, the cell height drops. N+3 integrates COAG while N6 does not. Our N+3 gate-cut cross-sections indicate COAG, with the gate contact sitting over the active region, while N6 shows an off-gate contact. Last is single diffusion break (SDB). Diffusion breaks are inserted between cells in the same row to provide electrical isolation, but they also introduce local layout effects (LLE), layout-dependent shifts in electrical characteristics. In the past, a double diffusion break was used, consuming the space of two CGPs. SMIC N+3 and TSMC N6 instead use SDB, saving area but increasing LLE sensitivity. This must be controlled at the process level and accurately modeled in the process design kit (PDK) so that EDA tools can account for it. Overall, SMIC N+3 has a transistor density of 113.4 MTr/mm², slightly above TSMC N6 at 107.7 MTr/mm². Even without EUV, SMIC has achieved density beyond TSMC’s mature N6 node which utilizes EUV. Metal Stack The smallest critical dimension in the teardown is M0; SMIC N+3 uses a 32.5 nm local metal pitch. That is smaller than the 36 nm M0 pitch on Intel 18A in Panther Lake. However, this does not mean that SMIC has a better process than Intel 18A or TSMC N3P. M0 is a local intra-cell routing layer. Its usefulness depends on the full interconnect stack: M1 and M2 pitch, track count, via and line resistance, design rules, mask count, overlay control, and routing flexibility. The 32.5 nm M0 is consistent with self-aligned quadruple patterning (SAQP), whose four-population line-width loading we read coarsely as alternating widths of 21.5 to 24 nm; M1 and M2, at 38 and 40 nm, are consistent with self-aligned double patterning (SADP), a single A/B split. On TSMC N6, M0, M2, and M3 sit at a relaxed ~40 nm and are consistent with SADP-class double patterning, with no need for quadruple patterning. That said, we measure M2 for example at ~43 nm, likely inflated by sparse routing. We do not assign any specific layer to EUV from our cross-sections; the distinction we can draw is double versus quadruple patterning, not lithography wavelength. Transistor-level density in the front-end-of-line (FEOL) sets an upper bound, but the design is ultimately limited by what the interconnect stack can route. The lowest metals are the most important for standard-cell density, but the semi-global and global layers determine how usable that density is at the block and chip level. Two axes are commonly used for chip cross-sections: the fin-cut and the gate-cut. The micrograph above is a fin-cut and shows metals 0 through 3. This axis lets us see the even-numbered metals, with M0 right above the fins. There are two kinds of M0 lines. The first are the power rails; these are wide wires for the VDD and VSS running horizontally at the top and bottom edges of each standard cell. The wide wires measure 55 nm across, more than double the other M0 lines. Their width minimizes resistance and reduces IR drop. The second kind are intra-cell wires, short segments within the cell that connect terminals to M1. These have alternating widths between 21.5 and 24 nm. The M0 pitch is 32.5 nm, a 19% reduction versus N+2 and N6. At this pitch, DUV patterning requires more aggressive multi-patterning, increasing mask count, overlay sensitivity, process complexity and cost. M0 is below what a single DUV-defined spacer (SADP) can resolve, so SMIC cascades a second spacer step (SAQP). The cross-section reflects the cost: the M0 trenches are visibly more re-entrant (narrower at the bottom than the top) than M1 or M2 on the same chip and carry a bright barrier-rich foot where the trench meets the etch-stop layer. That shape is partly the intended damascene profile, as a slightly narrow bottom helps void-free copper fill, but its magnitude at M0 is driven by the tight pitch and the higher trench aspect ratio. Intel 18A supports an M0 pitch of 32 nm, although Panther Lake has only shipped with a looser 36 nm pitch. This is due to Intel’s heavy usage of HP libraries. Among leading-edge nodes, 18A has the loosest M0 pitches due to PowerVia. With power routing moving to the backside, congestion is reduced, and the entire front-side metal stack can be used for signal routing. M2 is the first true inter-cell routing layer. It runs horizontally like M0 but spans across multiple cells to carry block-level signals. The M2 pitch sets the cell’s track height – the number of M2 tracks that fit between the VDD and VSS rails, defining what the library calls a 6-track or 7.5-track cell. This layer is the most important, limiting the routing of entire blocks. SMIC N+3 features a 5.7-track cell. The M2 pitch is 40 nm, a 5% decrease over N+2 and the same as N6. This shrink keeps the pitch at the edge of what is possible with double patterning. Future nodes will need to increase the number of masks for M2 as reducing the number of tracks is much harder due to the limitations in routing. The micrograph above is in the perpendicular direction, the gate-cut, and shows metals 0 through 4. This allows us to see and measure the odd-numbered vertical metal layers. The M1 pitch is 38 nm, 9.5% less than N+2 and 33% less than N6. The M1-to-gate ratio matters because it sets local routing flexibility. N+2 and N+3 use a 3:2 ratio, while N6 uses a 1:1 ratio, explaining the huge differences in M1 pitch. The more M1 lines there are compared with the gates, the more flexibility there is for power and signal crossing within the cell. Routing flexibility enables more complex and better cells. Clean fractional ratios are also preferred as a grid is periodic and improves layouts. The 3:2 ratio gives SMIC more local routing flexibility than a strict 1:1 grid, but it also complicates layout and patterning. This is a DTCO choice, with SMIC increasing process complexity to recover density and routability without EUV. This 3:2 ratio is not very popular in the leading-edge nodes. TSMC has only used it on N7+, the N5 family, and the short-lived N3(B). They have switched back to a 1:1 ratio for N3E. Intel has only used it on the 10 nm/Intel 7 family, with Intel 4, 3 and 18A all using a 1:1 ratio. Samsung is the only one still using a 3:2 ratio at the leading edge, using it in the SF4 and SF3 families. It remains to be seen if SMIC will remain at a 3:2 ratio or move to a 1:1 ratio with its future nodes. The industry is still actively exploring these local-routing ratios. At VLSI 2026, imec will be presenting work on even higher ratios, including a 2:1 scheme that can reduce area by up to 14%. We will be covering the conference in a future newsletter article. Subscribe We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. The final local interconnect layer for N+3 is M3, with a pitch of 44 nm. The M3 pitch is the same as on N+2 and 10% larger than on N6. The semi-global layers carry the majority of block-level signal routing. They have a coarser pitch than the lower local layers. On leading-edge nodes, they are designed to sit at the limit of DUV single patterning. M4 through M11 pitches were found divided between 80–82 nm (M4–M6), 128 nm (M7–M10), and 148 nm (M11). Given limited sampling, it is possible these are divided further in dense routing areas. At the top are two giant metal layers, M12 and M13. These have kept the same pitches as N+2 at 1920 nm and 4600 nm respectively. While the lower layers’ pitches are generally fixed by the process and library, the upper layers vary much more in pitch and count, depending on the design. Even two smartphone SoCs on the same process can have wildly different metal stacks. The Helio G99 carries fewer routing layers, reaching coarse metal pitches of 850 nm by M9, while the larger and higher-performance Kirin 9030 keeps fine pitches until M11. SRAM At the leading edge, SRAM is much more difficult to scale than logic. TSMC’s latest nodes have seen little to no bitcell scaling, while logic still has more DTCO levers to pull. While looking for other logic libraries in the GPU compute units, we stumbled upon the SRAM. The most common type of SRAM has 6 transistors (6T), but this cell had 8 transistors (8T) instead. 8T SRAM adds two transistors to form a dedicated read port. Unlike a 6T cell, where reading disturbs the storage, the decoupled read port removes read-disturb, improving read stability and letting the cell be pushed harder for performance. At first glance, the cut looked like an unusual logic library, with each cell row having 3 fins of one polarity and 5 fins of another. The rows also alternated in orientation. Energy-dispersive X-ray spectroscopy (EDS) resolved our confusion. The cut had not landed on the GPU logic, but on the SRAM macro beside it. The unusual fin pattern was due to the SRAM library. We return to EDS in the process flow analysis behind the paywall. SRAM libraries are not like traditional logic libraries. Due to the unequal number of PMOS and NMOS transistors, they require specialized rules and layout libraries. They do not need the flexibility of logic libraries, so they are hyper-optimized for one purpose: dense, reliable memory. The SRAM cell we found is a 1:2:2-2:2 cell. This means there is 1 fin per pull-up (PU) PMOS transistor, and 2 fins per pull-down (PD) and pass-gate (PG) NMOS transistor. These 2 PU, 2 PD and 2 PG transistors would usually form a single 6T high-current cell (HCC). An 8T HCC adds a read-pull-down (RPD) and a read-pass-gate (RPG) NMOS transistor, each with two fins. We measured a cell height of 406 nm, which brings the bitcell size to 0.0463 µm². That is a theoretical peak density of 21.6 Mib/mm². We estimate that a 6T HCC would have a cell height of 292 nm and a size of 0.0337 µm². This is ~12% larger than a 6T HCC on Intel 3 and 4. We also estimate the 6T high-density cell (HDC) to have a cell height of 228 nm and a size of 0.0260 µm². This is coincidentally the same as the logic standard-cell height measured earlier. The estimate puts the cell near Samsung 7LPP/5LPP and slightly below TSMC N7/N6. That is a theoretical peak density of 38.5 Mib/mm². 6T HDC is arguably the most important cell as it is used for the largest caches in a chip, the L3 caches and system-level cache (SLC). Both the Kirin 9020 and 9030 have split the SLC into 4 banks to raise total SLC bandwidth. In the Kirin 9030, the SLC increased from 2 MiB to 3 MiB per bank. Correspondingly, the number of arrays within the bank also increased by 50%, from 16 to 24. Each array can store 128 KiB and forms an orderly pattern on the die shot. From the Kirin 9020 to the Kirin 9030, the area of a 128 KiB SLC array decreased from 0.0477 mm² to 0.0392 mm², an 18% shrink. The achieved density is 25.5 Mib/mm², 66% of the theoretical maximum. While the SLC was quite similar across both chips, the L3 has seen some major changes, particularly in terms of its layout. The total capacity also went up from 10 MiB to 12 MiB. Much like the SLC, the L3 is also split into 4 banks. In the Kirin 9020, an L3 bank consisted of 16× 128 KiB arrays and 16× 32 KiB arrays. However, an L3 bank in the Kirin 9030 instead consists of 48× 64 KiB arrays. In the Kirin 9020 L3, a 128 KiB array was 0.0513 mm² and a 32 KiB array was 0.0154 mm². The size of the 128 KiB array is different on the L3 and SLC as the assist circuitry for the two arrays differs depending on their purpose. In the Kirin 9030 L3, a 64 KiB array is 0.0210 mm². Although not a like-for-like comparison, normalized for capacity, it is 18% smaller than the 9020’s 128 KiB L3 array and 31% smaller than its 32 KiB L3 array. The achieved density is slightly lower than the SLC, at 23.8 Mib/mm², 62% of the theoretical maximum. Unlike the L3 and SLC, the prime cores’ private L2 cache uses a 2-bank design. As the prime cores’ L2 is latency-critical, it likely uses 6T HCC instead of 6T HDC. The 9020 has 16 arrays in each bank while the 9030 has 32. Each array has a capacity of 32 KiB. A 32 KiB array in the L2 shrank from 0.0171 mm² to 0.0142 mm², ~17% smaller. The density is 17.6 Mib/mm², ~59% of the theoretical maximum for 6T HCC. SRAM scaled well from N+2 to N+3, shrinking by ~19%, close to the theoretical logic shrink. The caveat is that N+2’s bitcells were unusually large, bigger than comparable 7 nm-class nodes, so part of the gain is catch-up rather than true scaling. With the insights from STEEL’s teardowns, we will be doing a deep dive into SRAM in a future newsletter article. Subscribe Everything above came out of a single STEEL teardown: die annotation, block-level area analysis and TEM cross-sections through logic and SRAM. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Future Roadmap The same cross-sections that pin down N+3 also show where SMIC can go next. Although N+3 is already close to the practical limits of DUV multi-patterning in several layers, SMIC still has a few scaling levers left. A theoretical N+4 would likely start with cell height. N+3 uses 5 M0 tracks between its power rails. Moving to 4 M0 tracks, as on SMIC N+2 and TSMC N6, could reduce cell height by roughly 15%. The routing grid is only one side of the shrink; the front end also must fit into the smaller cell. One possible FEOL lever is reducing the p-to-n isolation spacing from two diffusion grid units to one. Intel used this scaling booster on Intel 4, and TSMC did so on its N3 family. This path trades layout flexibility for density. Fewer M0 tracks reduce local routing resources, while tighter p-to-n spacing raises integration and design-rule difficulty. M2 is also constrained by the cell height shrink. For SMIC to maintain a ~5.7-track cell, M2 would need to move toward ~35 nm. That would move another layer into SAQP territory. SMIC could also reduce the CGP from 57 nm to 54 nm. Intel reached a similar CGP on Intel 10 nm/Intel 7 without EUV. The local interconnect is also tougher. If SMIC keeps the 3:2 M1-to-gate ratio, M1 would need to shrink to 36 nm and would likely require SAQP as well. If SMIC moves to a 1:1 ratio, M1 could relax to 54 nm, but it would give up routing flexibility. Under this theoretical path, we estimate that SMIC N+4 could reach a cell height of 198 nm and a CGP of 54 nm, implying a Bohr density of 137.8 MTr/mm², on par with TSMC N5 or Samsung SF4. However, the difficulty is cumulative. Each step is individually plausible, but together they make N+4 harder than the transition from N+2 to N+3. It will likely take longer, cost more, and carry less process margin. A theoretical N+5 would require a larger integration shift. One possible path is backside contacts (BSCon), moving power routing and source/drain contacts to the backside, which would reduce front-side routing pressure and enable another reduction in cell height. The front-side metal pitches could relax to reduce the process complexity. M0 would likely relax slightly to ~34 nm, and M2 and M4 pitches could relax further. CGP is unlikely to shrink much further. Even with EUV, 48 nm has been the practical limit for yield and process control. This approach would allow N+5’s cell height to fall to 170 nm and its CGP to 53 nm. This implies a Bohr density of 163.6 MTr/mm², on par with Intel 18A’s HP library. However, this would not make N+5 cost-competitive with the leading edge. It would reach a similar density through a much more expensive route. The integration difficulty rises sharply, with new process flows for backside alignment, wafer thinning, contact reveal, and backside metallization. Past this point, standard density and interconnect scaling become increasingly unattractive. That is where Huawei’s roadmap stops looking like a normal foundry roadmap and starts looking like a packaging roadmap. At ISCAS 2026, Huawei unveiled its tau (τ) scaling law, reframing process scaling in the time domain. τ is the time cost of data movement and processing: switching delays in transistors, RC signal propagation delays in circuits, compute, memory, and networking latency. Outside Huawei’s terminology, this is called system-technology co-optimization. This is Huawei’s answer to its lack of EUV lithography. Without EUV, planar density cannot keep pace with TSMC, Intel, or Samsung. If transistor density cannot shrink further, Huawei’s alternative is to shorten wires, reduce buffering, and stack logic vertically. “LogicFolding”, Huawei’s implementation of this new scaling idea, is, in practice, an aggressive 3D stacking approach. AMD V-Cache places SRAM above or below a CPU die. AMD’s MI350X places active interposer dies (AIDs) underneath accelerator and compute dies (XCDs), with the AIDs handling cache, IO interfaces, the network-on-chip (NoC) and embedded metal-insulator-metal (MIM) capacitors. With LogicFolding, parts of the same logic block are split across multiple active dies bonded face-to-face at ultra-fine pitch. This allows Huawei to shorten some critical paths and reduce buffer overhead, not merely add cache capacity or offload the IO and interconnect. Shortening wires is where the higher clocks come from. A large share of a modern core’s delay and energy budget goes into driving long interconnects and the repeater buffers along them. LogicFolding distributes a block’s critical-path gates across multiple stacked tiers bonded at a very fine pitch, so the bond interface behaves like an additional metal layer and the longest paths get shorter. That is how Huawei expects to recover frequency and efficiency it cannot get from the process alone. Huawei’s roadmap shows its intent. Prime core frequency is targeted to rise from 2.75 GHz in the Kirin 9030 to roughly 5 GHz by 2031, far beyond what planar scaling alone could deliver. Prime cores with 3.1 and 3.39 GHz clocks are being tested in its labs, although their power consumption is unknown. Beyond that, chips are in the design, simulation or pathfinding phase, meaning the frequencies are targets. However, the direction matters more: LogicFolding also helps with performance, not just density. The catch is that Huawei’s density claim is not directly comparable to foundry densities. A stacked design can report more transistors per package footprint by adding active layers, even if each patterned die remains well behind TSMC or Intel in front-end density. This is how Huawei can claim to reach foundry 14A-equivalent density by 2031. This is not a like-for-like foundry comparison, with Huawei using stacked logic and measuring density per package footprint. On a normalized Bohr-density basis, SMIC N+3 is ~114 MTr/mm², 38% less than Intel 18A’s HD library. Huawei’s 3D roadmap closes the gap by stacking active logic, reaching 215 MTr/mm² by 2030. In 2031, the roadmap density jumps to 295 MTr/mm², implying either a third active layer, partial EUV insertion or aggressive planar DUV scaling. Huawei’s methodology makes other foundries look much denser as well. Applying it to AMD’s MI450X with an N2 top die on an N3P base die yields a theoretical density of 460.2 MTr/mm² in 2026, compared with Huawei’s 295 MTr/mm² in 2031. This Kirin 9030 does not use LogicFolding, remaining in a conventional mobile SoC package. Instead, it forms the baseline for how far Huawei and SMIC can push planar scaling. Future teardowns of Kirin and Ascend chips will show both planar logic density and Huawei’s hybrid bonding solutions. Export controls changed China’s optimization problem rather than ending it. EUV restrictions raised the cost and complexity of leading-edge manufacturing without freezing it. SMIC reaches N6-class logic density through DUV immersion, SAQP and DTCO, while Huawei shifts more of the burden onto architecture, packaging and system-level integration. Future nodes will be tougher. N+3 still had room to tighten local metals and reduce cell height and CGP. Further scaling without EUV leaves fewer levers. More aggressive multi-patterning adds masks and overlay error. SMIC can keep pushing DUV, but each step will get more expensive and less forgiving. The design side is just as critical. Huawei had domestic EDA tools and flows before the Kirin 9030, with the Kirin 9000s, 9010 and 9020 making that clear. Huawei was able to ship multiple consumer SoCs on SMIC N+2 and N+3 while cut off from the Western EDA stack. US export controls restricted EDA tools for advanced chips in 2022 but did not target tools for more mature chips. In 2025, the US government briefly placed much broader restrictions on EDA software from Synopsys, Cadence, and others, before lifting them less than two months later as part of a trade deal tied to rare earths. Huawei has been unable to access those tools because it remains on a US trade blacklist. That forced Huawei, SMIC and Chinese academic institutions to build their own tools and flows. Researchers at Peking University recently announced a prototype EDA tool for Huawei’s LogicFolding architecture, which requires a new flow to handle the multilayer layout and floorplan. This is not the same as replacing the full Synopsys or Cadence stack, but it shows where domestic EDA is headed: toward tighter co-optimization between architecture, process and packaging. These advances are also diffusing into the Chinese ecosystem. SMIC is licensing its N+2 and N+3 processes to HLMC/Hua Hong at the government’s direction rather than by choice. If the same process learning feeds into Ascend accelerators for AI training and inference, the choke point shifts from one named fab to an ecosystem. Alibaba’s T-Head silicon arm and Cambricon, a Chinese AI chip designer that is expected to supply ByteDance, could also be major beneficiaries. Sanctions aimed at SMIC alone become less effective once the manufacturing knowledge has spread to other fabs and design houses. China is not closing the gap with Intel, Samsung and TSMC. The teardown shows the opposite in several places: no EUV, no backside power, higher process complexity, and visible trade-offs. But China is still advancing. If domestic chips become good enough for phones, inference, networking and security-sensitive workloads, they can matter strategically without matching TSMC at the leading edge. Behind the paywall, we show what else STEEL can do, with material and process flow analysis of SMIC N+3, and analysis of the Kirin 9030 package. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline, access the full Kirin 9030 and SMIC N+3 analysis or to commission a custom teardown, contact sales@semianalysis.com.

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