Why evidence matters more than headlines: and the danger of snake oil! In the world of neurodevelopmental conditions and traits such as autism and ADHD, one thing is constant: families are searching for answers. That very human drive for explanation and certainty can, unfortunately, make us vulnerable to misinformation, fear-mongering, and snake oil solutions. Two recent and well-known examples illustrate this risk. 🔹 the MMR vaccine and autism In 1998, a small case series suggested a link between the MMR vaccine and autism. Despite only involving 12 children, the story made global headlines. We now know that this research was not only flawed but fraudulent, and it has since been fully retracted. Yet the damage was real: vaccination rates dropped, measles outbreaks occurred, and public trust was eroded. 🔹 Paracetamol use in pregnancy More recently, headlines have suggested that paracetamol (acetaminophen) during pregnancy may increase the risk of autism or ADHD. However, the largest study to date – covering more than 2.4 million children in Sweden – found no increased risk when careful sibling comparisons were made. Earlier “signals” were most likely due to family and environmental factors, not the medication. These cases highlight a bigger problem: Headlines are short, bold, and dramatic; science is careful, slow, and nuanced. false claims spread faster than careful corrections. Once fear takes hold, it can drive people toward unproven interventions, costly treatments, or avoidance of safe healthcare. This is where “snake oil” creeps in. When people are scared, there will always be those ready to exploit that fear with promises of miracle cures, restrictive diets, or expensive “brain training” that lacks evidence. So, what should we do? ✔️ Check the evidence base, not just one study – ask whether findings are replicated, large-scale, and peer-reviewed. ✔️ Be wary of anecdotes over data – individual stories can be powerful but are not proof. ✔️ Look at who benefits – is the claim linked to financial or political gain? ✔️ Communicate carefully – those of us in healthcare, education, or research Have a duty to share science accessibly, honestly, and without sensationalism. For families and professionals alike, the message is clear: don’t let fear be louder than facts. Evidence is our best safeguard against misinformation and exploitation, and it is what truly helps us support autistic and ADHD individuals to thrive.
Misinformation in Science Communication
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Summary
Misinformation in science communication refers to the spread of false or misleading scientific information, which can undermine public trust, influence health decisions, and complicate efforts to share reliable knowledge. This issue often arises when scientific findings are exaggerated, misunderstood, or manipulated by technology and media, making it difficult for people to distinguish between trustworthy and inaccurate information.
- Question bold claims: Always look for supporting evidence and check if scientific findings have been replicated or peer-reviewed before accepting them as fact.
- Teach critical thinking: Encourage people to recognize manipulation tactics, such as emotional language or anecdotal stories, so they can better identify misinformation.
- Promote transparency: Support clear communication about uncertainties in research and push for accountability in how health information is presented and shared by technology platforms.
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The global spread of misinformation continues to challenge trust in science, public health, and democracy. A new meta-analysis by Simchon et al. takes a closer look at one of the most promising tools to counter it: psychological inoculation, also known as prebunking. Much like a vaccine exposes the body to a weakened virus to build immunity, inoculation training exposes people to weakened forms of misinformation, for example, short videos or games that illustrate common manipulation techniques such as emotional language, false dichotomies, or scapegoating. By learning to recognize these tactics before encountering them in the wild, people build “cognitive antibodies” that make them less vulnerable to deception later on. In this meta-analysis of 33 experiments with over 37,000 participants, the authors reanalyzed the data using Signal Detection Theory to test whether inoculation truly sharpens discernment or merely makes people more skeptical of everything. The results are clear: inoculated participants became significantly better at distinguishing reliable from manipulative content, without losing trust in legitimate information sources. That distinction is critical. We need interventions that strengthen critical thinking without fueling cynicism. This study shows that it is possible, and scalable. With misinformation now amplified by AI and deepfakes, prebunking offers a low-cost, evidence-based way to help societies stay informed, not alarmed. Here is the link to this interesting manuscript: https://lnkd.in/ev7Yh7dF
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This study offers a striking demonstration of how easily fabricated health information can infiltrate the systems millions of people rely on for medical guidance. A fictional disease, seeded through two obviously bogus preprints, was repeated as fact across major AI platforms within weeks, and eventually cited in peer-reviewed literature. The researchers themselves were alarmed at how well it worked. https://lnkd.in/er24NDG2 Anyone familiar with how LLM developers collect content and sell their services as information intermediaries would not be surprised. Our information environments are more shaped by technology, design choices, and commercial interests than most people think. This goes well beyond AI safety or academic integrity. We need to stop framing health misinformation as primarily a communication problem, solvable through better messaging or more trusted spokespeople. Marketers are already using LLMs to generate health content optimized for AI overviews. Developers are embedding AI into health apps without standardized evaluation. Researchers are using LLMs to shortcut analysis, sometimes without reading the sources those tools cite. At every node in this chain, the mere availability of an AI tool has become sufficient justification for its use, with almost no conversation about what skills, governance, or values should accompany that. What would actually help: mandatory pre-deployment evaluation of health AI for misinformation susceptibility. Transparency requirements for AI-generated health content. Real health and algorithmic literacy in education. Independent, non-commercially driven health knowledge infrastructure. Stronger norms around AI use in scientific publishing. And public health voices in the rooms where these systems are designed, not just called in afterward to clean up. Public health cannot message its way out of an information swamp. If this continues to be treated as a communication challenge rather than a structural one, we will keep arriving at the shore with a megaphone while the water keeps rising.
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Overstating research findings is one of the quickest ways to destroy public trust... Here is how 𝗢𝘃𝗲𝗿𝘀𝘁𝗮𝘁𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗞𝗶𝗹𝗹𝘀 𝗣𝘂𝗯𝗹𝗶𝗰 𝗧𝗿𝘂𝘀𝘁 One exaggerated headline, one oversimplified study, and public trust in science suddenly erodes. Overhyping research leads to misinformation, unrealistic expectations, and skepticism when results don’t hold up. 📌 The "Breakthrough" Trap → Science is gradual, but people expect instant solutions. ↳ Calling every study a "game-changer" sets up false expectations. ↳ When research gets debunked, trust plummets (e.g., red wine is as good as exercise?). How we can fix this: Use measured language: "Initial evidence suggests..." instead of "Revolutionary discovery!" 📌 Social Media Fuels Misinformation → Research spreads fast ✒︎but misinformation spreads faster. ↳ Viral posts often take findings out of context ↳ Echo chambers amplify misleading or incomplete claims. ↳ People trust repetition, even if the info is false. How to Fix this: Scientists should actively engage in public discussions and counter misinformation. 📌 Science "Changes" & the Public Feels Betrayed → When studies evolve, people feel misled if initial messaging lacked transparency. ↳ The mask debate during COVID-19 led to confusion because guidance kept shifting. ↳ The public expects certainty—but science is about updating knowledge. ↳ Without clear communication, corrections look like contradictions. Fix It: Normalize uncertainty—“Here’s what we know so far, and here’s what we’re still learning.” 📌 The Balance Between Engagement & Accuracy → Scientists and the media must work together to avoid overhyping research. ↳ Too much data? People tune out. ↳ Too little nuance? People get misled. ↳ Fear-based messaging? Causes panic or apathy. ********** When science gets overhyped, credibility suffers. The more we focus on accuracy over attention, the stronger public trust becomes. 💬 What’s an example of overhyped science you’ve seen in the media? #ScienceCommunication #Misinformation #PublicTrust #ResearchEthics
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“My cousin’s friend cured their cancer with baking soda.” If you've ever heard a patient or loved one repeat something like this, you know the frustration—and the danger. I’ve sat across the dinner table from young family members who KNOW the moon landing was fake and that the COVID vaccine killed more people than it saved. These aren't abstract anecdotes. These are people I love—fully convinced by content designed to exploit their fears and confirmation bias. Misinformation isn’t just wrong. It’s a barrier to care. And it’s personal. October is Health Literacy Month, and the stakes couldn’t be higher. During COVID-19, 80% of Americans encountered health misinformation. Only 12% have proficient health literacy (Kaiser/NIH). That’s not a gap—it’s a public health crisis. Why This Matters Now Misinformation spreads because it’s engineered to exploit human psychology: Fear and outrage go viral faster than facts (BMJ) Algorithms reward engagement—not accuracy Confirmation bias makes repetition feel like truth And once false beliefs take root, shame won’t uproot them. You can’t fact-check your way out of this alone. What We Can Do: Build “Misinformation Immunity” Here are four ways to make your health content more resilient: 1. Teach Red Flags in Plain Language “If it sounds too good to be true, it probably is.” “No sources? No author? That’s a red flag.” “Would you bet your family’s health on it?” 2. Embed Trusted Resources at Every Touchpoint Link to: Mayo Clinic Cleveland Clinic PubMed Health Health Feedback (scientist-reviewed) Make verification easier than belief. And always encourage patients to talk to their doctor before acting on health advice they see online. 3. Correct With Empathy Instead of: “That’s ridiculous.” Try: “I’ve heard that too—let’s check what the research says.” “That’s a scary claim. Let’s verify it together.” Attack ideas, not people. Otherwise, they double down. 4. Advocate for System-Level Change Push for: Jargon-free patient materials Community-led myth-busting Accountability for health misinformation on social media Health literacy isn’t just a patient responsibility—it’s a system priority. This Health Literacy Month: One Action Here’s my challenge to anyone working in health communication: Add one “misinformation red flag” tip to your next patient-facing resource. Model what critical thinking looks like. Tag a colleague doing exceptional work in this space. Let’s amplify those building defenses—not just fighting fires. Question for you: What’s the most persistent health myth you’ve encountered—and what actually helped address it? Let’s learn from each other. ♻️ If this resonates, share it with your network. 👉 And follow me for more ideas like this. #HealthLiteracyMonth #HealthEquity #PatientEducation #Misinformation #HealthCommunication #CriticalThinking #BehavioralScience #NarrativeDesign #HealthActionStorytelling
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Yesterday, The National Academies of Sciences, Engineering, and Medicine published a report on "Understanding and Addressing Misinformation About Science." As a member of the Committee on Understanding and Addressing Misinformation About Science, I'm proud to have had a small part in producing this report that provides an assessment of the literature on science misinformation, its origins and impact, and strategies for mitigating its spread and potential harms. 🗒️ Misinformation has been documented to come from the for profit, non-profit, media, and policy sectors; scientific and medical institutions, including individual scientists, healthcare professionals and science communicators; and individual people 👀 When public uncertainty increases (such as during crises and emergencies), so does the potential for the spread of misinformation about science. 🔬 Improving access to high-quality scientific information can fill information voids that exist for topics of interest to people and reduce exposure to and uptake of misinformation about science. 🌎 Our current information ecosystem makes it easier for misinformation about science to spread and harder for people to figure out what is scientifically accurate. Given the risk of harm to people, communities, and society—proactive, multi-sector solutions are needed to address this issue. 🗣️ Everyone has a role to play in reducing the production and spread of misinformation about science. The report identifies four intervention points: 1️⃣ Supply-based interventions are designed to reduce the amount of circulating misinformation or change the balance between low- and high-quality information. 2️⃣ Demand-based interventions are designed to reduce the consumption of misinformation and support people as they seek out answers to pressing questions. 3️⃣ Distribution-based interventions are designed to limit the spread of misinformation primarily by reducing online exposure. 4️⃣ Uptake-based interventions are designed to reduce the effects of misinformation on people’s beliefs or behaviors. Download the full report here: https://lnkd.in/exbxmRKW Thanks to Tiffany E. Taylor, Ph.D. and @vish Viswanath for their leadership of this committee and report.
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Well… I couldn’t resist. Today, I shared a completely fake news article claiming a woman is pregnant with her own clone—complete with a breaking news graphic and even a quote from yours truly. It was a prank for #AprilFoolsDay. But here’s the serious part: This post was alarmingly easy to make. And that’s the point. In an era of clickbait headlines, AI-generated content, and viral pseudoscience, it’s easier than EVER to spread misinformation that looks legitimate. As a genetic counselor and science communicator, I see how fast false or oversimplified medical claims can travel—and how rarely people stop to question them. 😬 It takes five seconds to post misinformation and hours (or days) of research, fact-checking, and writing/creating to correct it—by which point, it’s already out there and spreading like wildfire. Before you share something that sounds wild (or even just new), here are a few things I recommend doing: 👉🏼Pause before sharing. Ask yourself: Does this sound too good—or too shocking—to be true? 👉🏼Check the source. Is it a credible publication? Is there a real author or expert quoted? 👉🏼Look beyond the headline. Many people only read the title—sometimes the actual article contradicts it entirely. 👉🏼Ask an expert. If something seems confusing or suspect, reach out to someone in that field when possible. (This can be through social media- many science creators appreciate it when you tag them if it’s something within their expertise they can speak to.) 👉🏼Be a responsible amplifier. If you have a platform—even a small one—what you share MATTERS. Science is powerful, nuanced, and evolving. Let’s do our part to protect its integrity. Happy April Fools—and stay curious (and skeptical). #GeneticCounseling #ScienceCommunication #HealthLiteracy #AprilFools #Misinformation #MediaLiteracy #CriticalThinking
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Wild idea: combat misinformation w/a neuropsychological vaccine! The paper below explores a psychological strategy known as “prebunking” or “inoculation theory” to combat misinformation. The researchers argue that by exposing people to a mild, controlled form of misinformation ahead of time, individuals can build mental defenses against full-fledged false information. This approach draws from the concept of inoculation in medicine, where small doses of a virus prepare the immune system to recognize and fight off future infections. Here, instead of pathogens, individuals are “inoculated” with misleading information in small doses. The method involves presenting people with common misinformation techniques, such as emotionally charged language or false causal links, allowing them to recognize these tactics more easily. Building an immune response to the pathogen. When these people later encounter similar techniques in actual misinformation, they’re better equipped to identify and resist it. Through controlled experiments, the researchers found that participants who received this type of “cognitive vaccine” showed a significantly higher ability to discern and dismiss misinformation compared to those who hadn’t been exposed to prebunking exercises. The results suggest that pre-exposure to misinformation tactics rather than factual correction after the fact could be a scalable, proactive solution to counter the rapid spread of false information. This inoculation strategy could be integrated into public awareness campaigns, educational programs, and even social media platforms, potentially creating a more resilient public that is less susceptible to manipulation by misinformation. CP methods could significantly enhance prebunking of MH-related misinformation by: Personalizing misinformation defenses & modeling how individuals process, store, & recall information—including false beliefs—researchers can identify cognitive vulnerabilities that misinformation exploits. Simulating w/Bayesian inference belief updating, predicting how exposure to misinformation alters individual belief systems. Guiding the design of prebunking interventions, ensuring that they account for diverse cognitive processing patterns and belief rigidity levels. Revealing that individuals w/high cognitive rigidity are more resistant to information changes, guiding the development of customized prebunking approaches that break down misinformation into cognitively digestible steps. Enhancing the timing/dosing of prebunking content based on individuals’ unique cognitive profiles, such as susceptibility to emotional appeals or cognitive biases. Assessing users’ online behavior & decision-making patterns, to dynamically adjust prebunking material, delivering it when users are most cognitively receptive. Simulating the long-term effectiveness of prebunking by analyzing w/RL how repeated exposure strengthens cognitive resilience against misinformation over time.
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In the Chemistry Catwalk article from C&EN, the story of Larry Richardson is both hilarious and a little unsettling. A perfect example of how scientific publishing can be gamed. Richardson, a fictional persona named after a cat was created by a mischievous group of chemists, managed to "author" a paper that was accepted by a journal, complete with fabricated credentials and a fake institutional affiliation. It’s a cautionary reminder that verifying the credibility of scientific articles is more important than ever. Whether you're a researcher, educator, or curious reader, here are some ways to check a paper’s credibility: Check the journal’s reputation – Is it peer-reviewed? Indexed in PubMed, Web of Science, or Scopus? Look up the authors – Are they affiliated with recognized institutions? Do they have a publication history? Review the citations – Are they from reputable sources or just self-references? Assess the methodology – Is it transparent, reproducible, and statistically sound? Search for retractions or corrections – Use databases like Retraction Watch or PubPeer. Watch for red flags – Overly broad claims, lack of data, or excessive jargon can signal poor science. Use tools like ORCID – These help verify author identity and publication legitimacy. In a world where misinformation can masquerade as science, skepticism and scrutiny are essential tools in every scientist’s toolkit.
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The New Epidemic Isn’t a Virus. It’s Misinformation. We live in an age where your phone can track your heart rate—but also trick your mind. A systematic review of 57 peer-reviewed studies (2012–2021) just confirmed what many of us suspected: Health misinformation on social media is not a glitch—it’s a feature. Here’s what the science says: False information spreads up to 6x faster than the truth. Especially when it sparks fear, outrage, or a seductive sense of control. (Think: “natural cures,” anti-vax rants, or AI-generated pseudoscience.) Cognitive shortcuts are running the show. Humans use heuristics to judge credibility—not evidence. This makes us vulnerable to slick content and confident-sounding nonsense. The stakes are high: •100% of reviewed studies identified real-world harm: • Decline in vaccine uptake • Use of ineffective or dangerous treatments • Erosion of trust in health professionals • Heightened anxiety, confusion, and misinformation fatigue Where does it spread? • 61% of studies analyzed Facebook—it’s the dominant misinformation amplifier. • 44% studied Twitter/X, where outrage fuels visibility. • YouTube videos had some of the highest levels of false content, especially around cancer, COVID-19, and nutrition. What actually works? • Fact-checking helps—but can backfire. Especially when it clashes with identity or values. • Pre-bunking (inoculation theory) works better: teach people to recognize manipulation before they see it. • Media literacy and critical thinking are emerging as the most effective long-term antidotes. • Framing + timing + emotional intelligence = critical design levers. Longevity Intelligence Takeaway: If longevity is about more than living long—if it’s about living wisely, critically, and consciously—then misinformation is a public health hazard. Not just biological, but behavioral. Not just digital, but existential. Because resilience isn’t just built in the body—it’s coded in our attention, our beliefs, and our ability to discern in a noisy world. To thrive in this era, we must evolve our cognitive and digital immunity just as much as our cellular health. Let’s be biologically strong and information-smart. Follow Jasmina Denner, Ph.D., for more content like this. ———————————— Learn more about Longevity Intelligence™ at: https://lnkd.in/eH_gR4ya #LongevityIntelligence #MisinformationIsAMetabolicRisk #CognitiveResilience #HumanDirectedEvolution #DigitalHealth #MediaLiteracy