Two Conservative Icons Gave Opposite Advice on COVID-19. Those Misinformed Died in Higher Numbers, New Study Reports.
The news sources that you consume can kill you - or save you. That's the fundamental insight of a powerful new study about the impact of watching either Sean Hannity's news show Hannity or Tucker Carlson's Tucker Carlson Tonight. One saved lives and the other resulted in more deaths, due to how each host covered COVID-19.
Carlson took the threat of COVID-19 seriously early on, more so than most media figures on the right or left.
This research illustrates the danger of falling for health-related misinformation due to judgment errors known as cognitive biases. These dangerous mental blindspots stem from the fact that our gut reactions evolved for the ancient savanna environment, not the modern world; yet the vast majority of advice on decision making is to "go with your gut," despite the fact that doing so leads to so many disastrous outcomes. These mental blind spots impact all areas of our life, from health to politics and even shopping, as a survey by a comparison purchasing website reveals. We need to be wary of cognitive biases in order to survive and thrive during this pandemic.
Sean Hannity vs. Tucker Carlson Coverage of COVID-19
Hannity and Tucker Carlson Tonight are the top two U.S. cable news shows, both on Fox News. Hannity and Carlson share very similar ideological profiles and have similar viewership demographics: older adults who lean conservative.
One notable difference, however, relates to how both approached coverage of COVID-19, especially in February and early March 2020. Researchers at the Becker Friedman Institute for Economics at the University of Chicago decided to study the health consequences of this difference.
Carlson took the threat of COVID-19 seriously early on, more so than most media figures on the right or left. Already on January 28, way earlier than most, Carlson spent a significant part of his show highlighting the serious dangers of a global pandemic. He continued his warnings throughout February. On February 25, Carlson told his viewers: "In this country, more than a million would die."
By contrast, Hannity was one of the Fox News hosts who took a more extreme position in downplaying COVID-19, frequently comparing it to the flu. On February 27, he said "And today, thankfully, zero people in the United States of America have died from the coronavirus. Zero. Now, let's put this in perspective. In 2017, 61,000 people in this country died from influenza, the flu. Common flu." Moreover, Hannity explicitly politicized COVID-19, claiming that "[Democrats] are now using the natural fear of a virus as a political weapon. And we have all the evidence to prove it, a shameful politicizing, weaponizing of, yes, the coronavirus."
However, after President Donald Trump declared COVID-19 a national emergency in mid-March, Hannity -- and other Fox News hosts -- changed their tune to align more with Carlson's, acknowledging the serious dangers of the virus.
The Behavior and Health Consequences
The Becker Friedman Institute researchers investigated whether the difference in coverage impacted behaviors. They conducted a nationally representative survey of over 1,000 people who watch Fox News at least once a week, evaluating both viewership and behavior changes in response to the pandemic, such as social distancing and improving hygiene.
Next, the study compared people's behavior changes to viewing patterns. The researchers found that "viewers of Hannity changed their behavior five days later than viewers of other shows, while viewers of Tucker Carlson Tonight changed their behavior three days earlier than viewers of other shows." The statistical difference was more than enough to demonstrate significance; in other words, it was extremely unlikely to occur by chance -- so unlikely as to be negligible.
Did these behavior changes lead to grave consequences? Indeed.
The paper compared the popularity of each show in specific counties to data on COVID-19 infections and deaths. Controlling for a wide variety of potential confounding variables, the study found that areas of the country where Hannity is more popular had more cases and deaths two weeks later, the time that it would take for the virus to start manifesting itself. By March 21st, the researchers found, there were 11 percent more deaths among Hannity's viewership than among Carlson's, again with a high degree of statistical significance.
The study's authors concluded: "Our findings indicate that provision of misinformation in the early stages of a pandemic can have important consequences for health outcomes."
Such outcomes stem from excessive trust that our minds tend to give those we see as having authority, even if they don't possess expertise in the relevant subject era.
Cognitive Biases and COVID-19 Misinformation
It's critically important to recognize that the study's authors did not seek to score any ideological points, given the broadly similar ideological profiles of the two hosts. The researchers simply explored the impact of accurate and inaccurate information about COVID-19 on the viewership. Clearly, the false information had deadly consequences.
Such outcomes stem from excessive trust that our minds tend to give those we see as having authority, even if they don't possess expertise in the relevant subject era -- such as media figures that we follow. This excessive trust - and consequent obedience - is called the "authority bias."
A related mental pattern is called "emotional contagion," in which we are unwittingly infected with the emotions of those we see as leaders. Emotions can motivate action even in the absence of formal authority, and are particularly important for those with informal authority, including thought leaders like Carlson and Hannity.
Thus, Hannity telling his audience that Democrats used anxiety about the virus as a political weapon led his audience to reject fears of COVID-19, even though such a reaction and consequent behavioral changes were the right response. Carlson's emphasis on the deadly nature of this illness motivated his audience to take appropriate precautions.
Authority bias and emotional contagion facilitate the spread of misinformation and its dangers, at least when we don't take the steps necessary to figure out the facts. Such steps can range from following best fact-checking practices to getting your information from news sources that commit publicly to being held accountable for truthfulness. Remember, the more important and impactful such information may be for your life, the more important it is to take the time to evaluate it accurately to help you make the best decisions.
A new injection is helping stave off RSV this season
In November 2021, Mickayla Wininger’s then one-month-old son, Malcolm, endured a terrifying bout with RSV, the respiratory syncytial (sin-SISH-uhl) virus—a common ailment that affects all age groups. Most people recover from mild, cold-like symptoms in a week or two, but RSV can be life-threatening in others, particularly infants.
Wininger, who lives in southern Illinois, was dressing Malcolm for bed when she noticed what seemed to be a minor irregularity with this breathing. She and her fiancé, Gavin McCullough, planned to take him to the hospital the next day. The matter became urgent when, in the morning, the boy’s breathing appeared to have stopped.
After they dialed 911, Malcolm started breathing again, but he ended up being hospitalized three times for RSV and defects in his heart. Eventually, he recovered fully from RSV, but “it was our worst nightmare coming to life,” Wininger recalled.
It’s a scenario that the federal government is taking steps to prevent. In July, the Food and Drug Administration approved a single-dose, long-acting injection to protect babies and toddlers. The injection, called Beyfortus, or nirsevimab, became available this October. It reduces the incidence of RSV in pre-term babies and other infants for their first RSV season. Children at highest risk for severe RSV are those who were born prematurely and have either chronic lung disease of prematurity or congenital heart disease. In those cases, RSV can progress to lower respiratory tract diseases such as pneumonia and bronchiolitis, or swelling of the lung’s small airway passages.
Each year, RSV is responsible for 2.1 million outpatient visits among children younger than five-years-old, 58,000 to 80,000 hospitalizations in this age group, and between 100 and 300 deaths, according to the Centers for Disease Control and Prevention. Transmitted through close contact with an infected person, the virus circulates on a seasonal basis in most regions of the country, typically emerging in the fall and peaking in the winter.
In August, however, the CDC issued a health advisory on a late-summer surge in severe cases of RSV among young children in Florida and Georgia. The agency predicts "increased RSV activity spreading north and west over the following two to three months.”
Infants are generally more susceptible to RSV than older people because their airways are very small, and their mechanisms to clear these passages are underdeveloped. RSV also causes mucus production and inflammation, which is more of a problem when the airway is smaller, said Jennifer Duchon, an associate professor of newborn medicine and pediatrics in the Icahn School of Medicine at Mount Sinai in New York.
In 2021 and 2022, RSV cases spiked, sending many to emergency departments. “RSV can cause serious disease in infants and some children and results in a large number of emergency department and physician office visits each year,” John Farley, director of the Office of Infectious Diseases in the FDA’s Center for Drug Evaluation and Research, said in a news release announcing the approval of the RSV drug. The decision “addresses the great need for products to help reduce the impact of RSV disease on children, families and the health care system.”
Sean O’Leary, chair of the committee on infectious diseases for the American Academy of Pediatrics, says that “we’ve never had a product like this for routine use in children, so this is very exciting news.” It is recommended for all kids under eight months old for their first RSV season. “I would encourage nirsevimab for all eligible children when it becomes available,” O’Leary said.
For those children at elevated risk of severe RSV and between the ages of 8 and 19 months, the CDC recommends one dose in their second RSV season.
The drug will be “really helpful to keep babies healthy and out of the hospital,” said O’Leary, a professor of pediatrics at the University of Colorado Anschutz Medical Campus/Children’s Hospital Colorado in Denver.
An antiviral drug called Synagis (palivizumab) has been an option to prevent serious RSV illness in high-risk infants since it was approved by the FDA in 1998. The injection must be given monthly during RSV season. However, its use is limited to “certain children considered at high risk for complications, does not help cure or treat children already suffering from serious RSV disease, and cannot prevent RSV infection,” according to the National Foundation for Infectious Diseases.
Until the approval this summer of the new monoclonal antibody, nirsevimab, there wasn’t a reliable method to prevent infection in most healthy infants.
Both nirsevimab and palivizumab are monoclonal antibodies that act against RSV. Monoclonal antibodies are lab-made proteins that mimic the immune system’s ability to fight off harmful pathogens such as viruses. A single intramuscular injection of nirsevimab preceding or during RSV season may provide protection.
The strategy with the new monoclonal antibody is “to extend protection to healthy infants who nonetheless are at risk because of their age, as well as infants with additional medical risk factors,” said Philippa Gordon, a pediatrician and infectious disease specialist in Brooklyn, New York, and medical adviser to Park Slope Parents, an online community support group.
No specific preventive measure is needed for older and healthier kids because they will develop active immunity, which is more durable. Meanwhile, older adults, who are also vulnerable to RSV, can receive one of two new vaccines. So can pregnant women, who pass on immunity to the fetus, Gordon said.
Until the approval this summer of the new monoclonal antibody, nirsevimab, there wasn’t a reliable method to prevent infection in most healthy infants, “nor is there any treatment other than giving oxygen or supportive care,” said Stanley Spinner, chief medical officer and vice president of Texas Children’s Pediatrics and Texas Children’s Urgent Care.
As with any virus, washing hands frequently and keeping infants and children away from sick people are the best defenses, Duchon said. This approach isn’t foolproof because viruses can run rampant in daycare centers, schools and parents’ workplaces, she added.
Mickayla Wininger, Malcolm’s mother, insists that family and friends wear masks, wash their hands and use hand sanitizer when they’re around her daughter and two sons. She doesn’t allow them to kiss or touch the children. Some people take it personally, but she would rather be safe than sorry.
Wininger recalls the severe anxiety caused by Malcolm's ordeal with RSV. After returning with her infant from his hospital stays, she was terrified to go to sleep. “My fiancé and I would trade shifts, so that someone was watching over our son 24 hours a day,” she said. “I was doing a night shift, so I would take caffeine pills to try and keep myself awake and would end up crashing early hours in the morning and wake up frantically thinking something happened to my son.”
Two years later, her anxiety has become more manageable, and Malcolm is doing well. “He is thriving now,” Wininger said. He recently had his second birthday and "is just the spunkiest boy you will ever meet. He looked death straight in the eyes and fought to be here today.”
Story by Big Think
For most of history, artificial intelligence (AI) has been relegated almost entirely to the realm of science fiction. Then, in late 2022, it burst into reality — seemingly out of nowhere — with the popular launch of ChatGPT, the generative AI chatbot that solves tricky problems, designs rockets, has deep conversations with users, and even aces the Bar exam.
But the truth is that before ChatGPT nabbed the public’s attention, AI was already here, and it was doing more important things than writing essays for lazy college students. Case in point: It was key to saving the lives of tens of millions of people.
AI-designed mRNA vaccines
As Dave Johnson, chief data and AI officer at Moderna, told MIT Technology Review‘s In Machines We Trust podcast in 2022, AI was integral to creating the company’s highly effective mRNA vaccine against COVID. Moderna and Pfizer/BioNTech’s mRNA vaccines collectively saved between 15 and 20 million lives, according to one estimate from 2022.
Johnson described how AI was hard at work at Moderna, well before COVID arose to infect billions. The pharmaceutical company focuses on finding mRNA therapies to fight off infectious disease, treat cancer, or thwart genetic illness, among other medical applications. Messenger RNA molecules are essentially molecular instructions for cells that tell them how to create specific proteins, which do everything from fighting infection, to catalyzing reactions, to relaying cellular messages.
Johnson and his team put AI and automated robots to work making lots of different mRNAs for scientists to experiment with. Moderna quickly went from making about 30 per month to more than one thousand. They then created AI algorithms to optimize mRNA to maximize protein production in the body — more bang for the biological buck.
For Johnson and his team’s next trick, they used AI to automate science, itself. Once Moderna’s scientists have an mRNA to experiment with, they do pre-clinical tests in the lab. They then pore over reams of data to see which mRNAs could progress to the next stage: animal trials. This process is long, repetitive, and soul-sucking — ill-suited to a creative scientist but great for a mindless AI algorithm. With scientists’ input, models were made to automate this tedious process.
“We don’t think about AI in the context of replacing humans,” says Dave Johnson, chief data and AI officer at Moderna. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
All these AI systems were in put in place over the past decade. Then COVID showed up. So when the genome sequence of the coronavirus was made public in January 2020, Moderna was off to the races pumping out and testing mRNAs that would tell cells how to manufacture the coronavirus’s spike protein so that the body’s immune system would recognize and destroy it. Within 42 days, the company had an mRNA vaccine ready to be tested in humans. It eventually went into hundreds of millions of arms.
Biotech harnesses the power of AI
Moderna is now turning its attention to other ailments that could be solved with mRNA, and the company is continuing to lean on AI. Scientists are still coming to Johnson with automation requests, which he happily obliges.
“We don’t think about AI in the context of replacing humans,” he told the Me, Myself, and AI podcast. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
Moderna, which was founded as a “digital biotech,” is undoubtedly the poster child of AI use in mRNA vaccines. Moderna recently signed a deal with IBM to use the company’s quantum computers as well as its proprietary generative AI, MoLFormer.
Moderna’s success is encouraging other companies to follow its example. In January, BioNTech, which partnered with Pfizer to make the other highly effective mRNA vaccine against COVID, acquired the company InstaDeep for $440 million to implement its machine learning AI across its mRNA medicine platform. And in May, Chinese technology giant Baidu announced an AI tool that designs super-optimized mRNA sequences in minutes. A nearly countless number of mRNA molecules can code for the same protein, but some are more stable and result in the production of more proteins. Baidu’s AI, called “LinearDesign,” finds these mRNAs. The company licensed the tool to French pharmaceutical company Sanofi.
Writing in the journal Accounts of Chemical Research in late 2021, Sebastian M. Castillo-Hair and Georg Seelig, computer engineers who focus on synthetic biology at the University of Washington, forecast that AI machine learning models will further accelerate the biotechnology research process, putting mRNA medicine into overdrive to the benefit of all.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.