Science Fact vs. Science Fiction: Can You Tell the Difference?
Today's growing distrust of science is not an academic problem. It can be a matter of life and death.
Take, for example, the tragic incident in 2016 when at least 10 U.S. children died and over 400 were sickened after they tried homeopathic teething medicine laced with a poisonous herb called "deadly nightshade." Carried by CVS, Walgreens, and other major American pharmacies, the pills contained this poison based on the alternative medicine principle of homeopathy, the treatment of medical conditions by tiny doses of natural substances that produce symptoms of disease.
Such "alternative medicines" take advantage of the lack of government regulation and people's increasing hostility toward science.
These children did not have to die. Numerous research studies show that homeopathy does not work. Despite this research, homeopathy is a quickly-growing multi-billion dollar business.
Such "alternative medicines" take advantage of the lack of government regulation and people's increasing hostility toward science. Polling shows that the number of people who believe that science has "made life more difficult" increased by 50 percent from 2009 to 2015. According to a 2017 survey, only 35 percent of respondents have "a lot" of trust in scientists; the number of people who do "not at all" trust scientists increased by over 50 percent from a similar poll conducted in December 2013.
Children dying from deadly nightshade is only one consequence of this crisis of trust. For another example, consider the false claim that vaccines cause autism. This belief has spread widely across the US, and led to a host of problems. For instance, measles was practically eliminated in the US by 2000. However, in recent years outbreaks of measles have been on the rise, driven by parents failing to vaccinate their children in a number of communities.
The Internet Is for… Misinformation
The rise of the Internet, and more recently social media, is key to explaining the declining public confidence in science.
Before the Internet, the information accessible to the general public about any given topic usually came from experts. For instance, researchers on autism were invited to talk on mainstream media, they wrote encyclopedia articles, and they authored books distributed by large publishers.
The Internet has enabled anyone to be a publisher of content, connecting people around the world with any and all sources of information. On the one hand, this freedom is empowering and liberating, with Wikipedia a great example of a highly-curated and accurate source on the vast majority of subjects. On the other, anyone can publish a blog piece making false claims about links between vaccines and autism or the effectiveness of homeopathic medicine. If they are skilled at search engine optimization, or have money to invest in advertising, they can get their message spread widely. Russia has done so extensively to influence elections outside of its borders, whether in the E.U. or the U.S.
Unfortunately, research shows that people lack the skills for differentiating misinformation from true information. This lack of skills has clear real-world effects: U.S. adults believed 75 percent of fake news stories about the 2016 US Presidential election. The more often someone sees a piece of misinformation, the more likely they are to believe it.
To make matters worse, we all suffer from a series of thinking errors such as the confirmation bias, our tendency to look for and interpret information in ways that conform to our intuitions.
Blogs with falsehoods are bad enough, but the rise of social media has made the situation even worse. Most people re-share news stories without reading the actual article, judging the quality of the story by the headline and image alone. No wonder research has indicated that misinformation spreads as much as 10 times faster and further on social media than true information. After all, creators of fake news are free to devise the most appealing headline and image, while credible sources of information have to stick to factual headlines and images.
To make matters worse, we all suffer from a series of thinking errors such as the confirmation bias, our tendency to look for and interpret information in ways that conform to our intuitions and preferences, as opposed to the facts. Our inherent thinking errors combined with the Internet's turbine power has exploded the prevalence of misinformation.
So it's no wonder we see troubling gaps between what scientists and the public believe about issues like climate change, evolution, genetically modified organisms, and vaccination.
What Can We Do?
Fortunately, there are proactive steps we can take to address the crisis of trust in science and academia. The Pro-Truth Pledge, founded by a group of behavioral science experts (including myself) and concerned citizens, calls on public figures, organizations, and private citizens to commit to 12 behaviors listed on the pledge website that research in behavioral science shows correlate with truthfulness.
Signers are held accountable through a crowdsourced reporting and evaluation mechanism while getting reputational rewards because of their commitment. The scientific consensus serves as a key measure of credibility, and the pledge encourages pledge-takers to recognize the opinions of experts - especially scientists - as more likely to be true when the facts are disputed.
The pledge "really does seem to change one's habits," encouraging signers to have attitudes "of honesty and moral sincerity."
Launched in December 2016, the pledge has surprising traction. Over 6200 private citizens took the pledge. So did more than 500 politicians, including members of US state legislatures Eric Nelson (PA), James White (TX), and Ogden Driskell (WY), and national politicians such as members of U.S. Congress Beto O'Rourke (TX), Matt Cartwright (PA), and Marcia Fudge (OH). Over 700 other public figures, such as globally-known public intellectuals Peter Singer, Steven Pinker, Michael Shermer, and Jonathan Haidt, took the pledge, as well as 70 organizations such as Media Bias/Fact Check, Fugitive Watch, Earth Organization for Sustainability, and One America Movement.
The pledge is effective in changing behaviors. A candidate for Congress, Michael Smith, took the Pro-Truth Pledge. He later posted on his Facebook wall a screenshot of a tweet by Donald Trump criticizing minority and disabled children. However, after being called out that the tweet was a fake, he went and searched Trump's feed. He could not find the original tweet, and while Trump may have deleted it, the candidate edited his own Facebook post to say, "Due to a Truth Pledge I have taken, I have to say I have not been able to verify this post." He indicated that he would be more careful with future postings.
U.S. Army veteran and pledge-taker John Kirbow described how the pledge "really does seem to change one's habits," helping push him both to correct his own mistakes with an "attitude of humility and skepticism, and of honesty and moral sincerity," and also to encourage "friends and peers to do so as well."
His experience is confirmed by research on the pledge. Two research studies at Ohio State University demonstrated the effectiveness of the pledge in changing the behavior of pledge-takers to be more truthful with a strong statistical significance.
Taking the pledge yourself, and encouraging people you know and your elected representatives to do the same, is an easy and effective way to fight misinformation and to promote a culture that values the truth.
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.