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Column: Can Stanford tell the difference between scientific fact and fiction? Its pandemic conference raises doubts

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Column: Can Stanford tell the difference between scientific fact and fiction? Its pandemic conference raises doubts

On Oct. 4, Stanford University’s newly minted president, Jonathan Levin, opened an on-campus conference about pandemic policies by expressing the hope that the proceedings would “bring together people with different perspectives, engage in a day of discussion, and in that way, try to repair some of the rifts that opened during COVID.”

He was followed to the lectern by the conference organizer, Stanford public policy professor Jay Bhattacharya, who described the event’s goal as fostering “dialogue with one another rather than having a situation where the goal is to destroy people who disagree with you.”

He said he hoped that the conference would be a “model” for how to bring together people of divergent views.

Science and quackery cannot be treated as having scientific and moral equivalence.

— John P. Moore, Weill Cornell Medical College

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If only it were. Within minutes of their opening remarks, their hopes were exploded.

That happened during the conference’s opening panel, which was labeled “Evidence-Based Decision Making During a Pandemic.”

Turning the conversation to the issue of COVID’s origins, panelist Andrew Noymer, who teaches about population health and disease prevention at UC Irvine, launched into a fact-free attack on Anthony Fauci, the former director of the National Institute of Allergy and Infectious Diseases. Fauci has become a target of relentless smears by right-wingers and congressional Republicans.

“I believe,” Noymer said, “that the origins of the SARS-CoV-2 virus are that it’s … an experimental virus that escaped from a lab and Tony Fauci is intimately linked to the funding for experiments that created this virus.”

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There’s no evidence that the virus escaped from a lab, much less that Fauci as NIAID director funded any experiments that created the virus. No one on the panel called Noymer to account.

A few other low points during the day reflected the organizers’ having invited conspiracy mongers and purveyors of long-debunked claims to share the stage with public health and science professionals who have spent the last few years battling a tide of misinformation and disinformation about the pandemic.

Stanford posted videos of all the conference panels and speeches on its website and on YouTube on Friday, expanding the potential audience beyond the few hundred people who attended the event in person.

As I mentioned in an earlier column about the conference, the idea that universities such as Stanford should be arenas for airing all opinions in a search for truth is simplistic and historically incorrect. Universities have always had, and even embraced, the duty to draw the line between fact and fiction — to determine when an assertion or opinion falls below the line of intellectual acceptability.

“Science and quackery cannot be treated as having scientific and moral equivalence,” John P. Moore, a distinguished biologist and epidemiologist at Weill Cornell Medical College who played a part in debunking misinformation about the role of HIV in AIDS during the 1990s, wrote recently. “Do NASA scientists attend conferences by people who believe the moon-landing was faked? Do geographers and geologists attend conferences held by idiots who believe the earth is flat?Of course not.”

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Stanford did some things right. After the initial conference agenda was published in August, it was criticized on social media and in the science community (and by me) for mainstreaming an “anti-science agenda (and revisionist history),” in the words of vaccine expert and pseudoscience debunker Peter Hotez.

Several more participants were added to the final roster in a possible effort to balance the lineup. (It may be that the organizers approached some of them before the original announcement came under attack.)

What worked to reduce the infection rate from COVID? According to researchers, bar, restaurant, school and gym closures; mask and vaccine mandates; and stay-at-home orders.

(Bollyky et. al, The Lancet)

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This effort bore fruit. In the first session, for example, health policy experts Douglas K. Owens and Josh Salomon of Stanford’s medical school educated their fellow panelists in the realities of crafting social policies in the first months of a deadly pandemic with little-understood medical characteristics or health implications.

Yet a persistent subtext of the conference was that the social interventions taken against the pandemic, such as business and school closings, mask and social distancing advisories and lockdowns, were generally worse than the disease. This echoed the position of Bhattacharya, a co-author of the Great Barrington Declaration, a manifesto published in October 2020 that called for ending lockdowns and school closures and pursuing “herd immunity” through “natural infection” of almost everyone other than the aged and infirm.

During the opening panel, moderator Wilk Wilkinson, a blogger on the concept of “personal accountability,” offered the astonishing criticism that public health leaders “focused very narrowly on deaths from COVID, and often it came at the expense of other social values” such as “being able to visit people, … or putting children in school as they normally would go to school, or attend funerals.”

It fell to Salomon to observe tactfully that “in the early part of the pandemic, in March 2020, “it made sense to focus on mortality. We all saw … the stacks of body bags in New York City.” Over time, he said, social trade-offs from public health interventions can be weighed, as they are today. But if there’s a higher imperative for public health officials than reducing deaths from a deadly pandemic while it is in full cry, what is it?

As it happens, researchers have found that social interventions did succeed in reducing infections and mortality, a conclusion that was barely mentioned at the conference.

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COVID death rates in U.S. states were reduced by restaurant, gym and pool shutdowns, vaccine mandates for school and government workers, and stay-at-home orders, according to a massive study published by the British medical journal The Lancet in April 2023. Infection rates were reduced by bar, restaurant and primary school closures; mask mandates; restrictions on large gatherings; stay-at-home orders; and vaccine mandates.

Social policies in place during the pandemic are easy to denigrate because their costs were evident but their positive effects were often invisible, Salomon observed. “It’s harder for us to recognize the lives that were saved, the hospital systems that were not overwhelmed, the … illnesses that were avoided.”

Throughout the conference, anti-government paranoia and misinformation about pandemic policies were strong on the wing. Rutgers biologist Bryce Nickels — who has accused scientists of “fraud” for concluding in a 2020 paper that COVID most likely originated in the natural spillover of the virus from animals via the wildlife trade in China, not through a laboratory experiment gone awry — expressed the conviction during the panel on the origins of COVID that “the pandemic was caused by reckless research and a lab accident.” No evidence has ever surfaced to support that theory.

Nickels insinuated that the scientists behind such research “have blood on their hands or culpability in some level.”

I asked Bhattacharya by email if comments such as Nickels’ and Noymer’s comported with his desire to eradicate from the debate over COVID “the goal … to destroy people who disagree with you.” He didn’t reply.

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Levin told me by email that “revisiting pandemic policies, with the benefit of hindsight and data, is a valuable topic for study,” and that he thinks “we’ll learn more from that inquiry if we frame it around questions and evidence rather than ‘who was right.’”

Some presenters uttered evident misinformation. Consider Scott Atlas, a senior fellow at Stanford’s Hoover Institution and a former COVID advisor to the Trump administration, who attacked pandemic lockdowns and their advocates because lockdowns “failed to stop the dying, they failed to stop the spread — that’s the data.”

But this is a flagrant category error. No one argued that the lockdowns would stop the spread of COVID or “stop the dying.” They were consistently portrayed as policies to slow the spread and consequently mortality in order to relieve the crushing pressure on healthcare facilities and personnel long enough to enable them to get a handle on the pandemic — “flattening the curve” was the watchword. And over time, they succeeded in doing just that.

Then there’s Marty Makary, a prominent surgeon at Johns Hopkins University who made a name for himself during the pandemic by repeatedly predicting that the pandemic was on the verge of ending due to natural immunity, only to be consistently confounded by the appearance of successive new waves of deadly COVID variants.

Makary related during the opening panel that he was frustrated because once data arrived about the social effects of lockdowns “there was no interest in evaluating” what was “the largest public health intervention in modern history.”

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But that’s just wrong. Data-driven analyses of social interventions surfaced even in the earliest days of the pandemic — including a multidiscipinary symposium sponsored by Stanford in the fall of 2021, featuring 54 experts from academia, public health and government.

Up to this day, the medical, public health and social effects of the pandemic and pandemic policies have been the subject of unrelenting study — more than 700,000 papers by nearly 2 million researchers thus far, according to an estimate offered by Stanford epidemiologist John P.A. Ionannidis in his closing conference remarks.

The conference organizers wanted to congratulate themselves for producing what Bhattacharya described as “the first event where people of very different viewpoints about what happened during the pandemic are going to speak to each other in a way that’s constructive.”

But a conference in which conspiratorial delusions and outright falsehoods were treated as deserving the same respect as scientifically validated research, and in which the authors of serious virological and epidemiological studies, as well as respected public health authorities, were subjected to smears, was nothing like “constructive.”

Considering Bhattacharya’s expectation that this conference should be a model for others, then: Let’s hope not.

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California-based company recalls thousands of cases of salad dressing over ‘foreign objects’

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California-based company recalls thousands of cases of salad dressing over ‘foreign objects’

A California food manufacturer is recalling thousands of cases of salad dressing distributed to major retailers over potential contamination from “foreign objects.”

The company, Irvine-based Ventura Foods, recalled 3,556 cases of the dressing that could be contaminated by “black plastic planting material” in the granulated onion used, according to an alert issued by the U.S. Food and Drug Administration.

Ventura Foods voluntarily initiated the recall of the product, which was sold at Costco, Publix and several other retailers across 27 states, according to the FDA.

None of the 42 locations where the product was sold were in California.

Ventura Foods said it issued the recall after one of its ingredient suppliers recalled a batch of onion granules that the company had used n some of its dressings.

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“Upon receiving notice of the supplier’s recall, we acted with urgency to remove all potentially impacted product from the marketplace. This includes urging our customers, their distributors and retailers to review their inventory, segregate and stop the further sale and distribution of any products subject to the recall,” said company spokesperson Eniko Bolivar-Murphy in an emailed statement. “The safety of our products is and will always be our top priority.”

The FDA issued its initial recall alert in early November. Costco also alerted customers at that time, noting that customers could return the products to stores for a full refund. The affected products had sell-by dates between Oct. 17 and Nov. 9.

The company recalled the following types of salad dressing:

  • Creamy Poblano Avocado Ranch Dressing and Dip
  • Ventura Caesar Dressing
  • Pepper Mill Regal Caesar Dressing
  • Pepper Mill Creamy Caesar Dressing
  • Caesar Dressing served at Costco Service Deli
  • Caesar Dressing served at Costco Food Court
  • Hidden Valley, Buttermilk Ranch
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They graduated from Stanford. Due to AI, they can’t find a job

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They graduated from Stanford. Due to AI, they can’t find a job

A Stanford software engineering degree used to be a golden ticket. Artificial intelligence has devalued it to bronze, recent graduates say.

The elite students are shocked by the lack of job offers as they finish studies at what is often ranked as the top university in America.

When they were freshmen, ChatGPT hadn’t yet been released upon the world. Today, AI can code better than most humans.

Top tech companies just don’t need as many fresh graduates.

“Stanford computer science graduates are struggling to find entry-level jobs” with the most prominent tech brands, said Jan Liphardt, associate professor of bioengineering at Stanford University. “I think that’s crazy.”

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While the rapidly advancing coding capabilities of generative AI have made experienced engineers more productive, they have also hobbled the job prospects of early-career software engineers.

Stanford students describe a suddenly skewed job market, where just a small slice of graduates — those considered “cracked engineers” who already have thick resumes building products and doing research — are getting the few good jobs, leaving everyone else to fight for scraps.

“There’s definitely a very dreary mood on campus,” said a recent computer science graduate who asked not to be named so they could speak freely. “People [who are] job hunting are very stressed out, and it’s very hard for them to actually secure jobs.”

The shake-up is being felt across California colleges, including UC Berkeley, USC and others. The job search has been even tougher for those with less prestigious degrees.

Eylul Akgul graduated last year with a degree in computer science from Loyola Marymount University. She wasn’t getting offers, so she went home to Turkey and got some experience at a startup. In May, she returned to the U.S., and still, she was “ghosted” by hundreds of employers.

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“The industry for programmers is getting very oversaturated,” Akgul said.

The engineers’ most significant competitor is getting stronger by the day. When ChatGPT launched in 2022, it could only code for 30 seconds at a time. Today’s AI agents can code for hours, and do basic programming faster with fewer mistakes.

Data suggests that even though AI startups like OpenAI and Anthropic are hiring many people, it is not offsetting the decline in hiring elsewhere. Employment for specific groups, such as early-career software developers between the ages of 22 and 25 has declined by nearly 20% from its peak in late 2022, according to a Stanford study.

It wasn’t just software engineers, but also customer service and accounting jobs that were highly exposed to competition from AI. The Stanford study estimated that entry-level hiring for AI-exposed jobs declined 13% relative to less-exposed jobs such as nursing.

In the Los Angeles region, another study estimated that close to 200,000 jobs are exposed. Around 40% of tasks done by call center workers, editors and personal finance experts could be automated and done by AI, according to an AI Exposure Index curated by resume builder MyPerfectResume.

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Many tech startups and titans have not been shy about broadcasting that they are cutting back on hiring plans as AI allows them to do more programming with fewer people.

Anthropic Chief Executive Dario Amodei said that 70% to 90% of the code for some products at his company is written by his company’s AI, called Claude. In May, he predicted that AI’s capabilities will increase until close to 50% of all entry-level white-collar jobs might be wiped out in five years.

A common sentiment from hiring managers is that where they previously needed ten engineers, they now only need “two skilled engineers and one of these LLM-based agents,” which can be just as productive, said Nenad Medvidović, a computer science professor at the University of Southern California.

“We don’t need the junior developers anymore,” said Amr Awadallah, CEO of Vectara, a Palo Alto-based AI startup. “The AI now can code better than the average junior developer that comes out of the best schools out there.”

To be sure, AI is still a long way from causing the extinction of software engineers. As AI handles structured, repetitive tasks, human engineers’ jobs are shifting toward oversight.

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Today’s AIs are powerful but “jagged,” meaning they can excel at certain math problems yet still fail basic logic tests and aren’t consistent. One study found that AI tools made experienced developers 19% slower at work, as they spent more time reviewing code and fixing errors.

Students should focus on learning how to manage and check the work of AI as well as getting experience working with it, said John David N. Dionisio, a computer science professor at LMU.

Stanford students say they are arriving at the job market and finding a split in the road; capable AI engineers can find jobs, but basic, old-school computer science jobs are disappearing.

As they hit this surprise speed bump, some students are lowering their standards and joining companies they wouldn’t have considered before. Some are creating their own startups. A large group of frustrated grads are deciding to continue their studies to beef up their resumes and add more skills needed to compete with AI.

“If you look at the enrollment numbers in the past two years, they’ve skyrocketed for people wanting to do a fifth-year master’s,” the Stanford graduate said. “It’s a whole other year, a whole other cycle to do recruiting. I would say, half of my friends are still on campus doing their fifth-year master’s.”

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After four months of searching, LMU graduate Akgul finally landed a technical lead job at a software consultancy in Los Angeles. At her new job, she uses AI coding tools, but she feels like she has to do the work of three developers.

Universities and students will have to rethink their curricula and majors to ensure that their four years of study prepare them for a world with AI.

“That’s been a dramatic reversal from three years ago, when all of my undergraduate mentees found great jobs at the companies around us,” Stanford’s Liphardt said. “That has changed.”

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Disney+ to be part of a streaming bundle in Middle East

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Disney+ to be part of a streaming bundle in Middle East

Walt Disney Co. is expanding its presence in the Middle East, inking a deal with Saudi media conglomerate MBC Group and UAE firm Anghami to form a streaming bundle.

The bundle will allow customers in Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the UAE to access a trio of streaming services — Disney+; MBC Group’s Shahid, which carries Arabic originals, live sports and events; and Anghami’s OSN+, which carries Arabic productions as well as Hollywood content.

The trio bundle costs AED89.99 per month, which is the price of two of the streaming services.

“This deal reflects a shared ambition between Disney+, Shahid and the MBC Group to shape the future of entertainment in the Middle East, a region that is seeing dynamic growth in the sector,” Karl Holmes, senior vice president and general manager of Disney+ EMEA, said in a statement.

Disney has already indicated it plans to grow in the Middle East.

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Earlier this year, the company announced it would be building a new theme park in Abu Dhabi in partnership with local firm Miral, which would provide the capital, construction resources and operational oversight. Under the terms of the agreement, Disney would oversee the parks’ design, license its intellectual property and provide “operational expertise,” as well as collect a royalty.

Disney executives said at the time that the decision to build in the Middle East was a way to reach new audiences who were too far from the company’s current hubs in the U.S., Europe and Asia.

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