Show Notes
Note: This is a freely accessible serialized version of Lab Leak Fever. Audio voiceover was AI generated for accessibility. Find an overview of all chapters here or consult the book website for further information. I got interested in the lab origin controversy at an odd time in my life. After having spent a decade in biological labs for my research, I gradually developed an interest in systemic approaches to understanding biology. There are just too many moving pieces in a biological system to capture all, or even just the most relevant, causative molecular mechanisms of complex phenomena like cancer resistance. I always found analyzing genes one by one dissatisfying. I felt it would be more useful to find the right framework to explain what the larger rules, regularities, and limitations of their interactions might be. Towards the end of my PhD studies, I had done proteomics, metabolomics, and transcriptomics—the trifecta of despair when a project is not going well, some might joke—trying to understand my organoid model system. Imagine long, dry Excel lists with thousands of gene names, with some value and some statistical power behind them. But systems biology is about creating big data sets and analyzing them to discover informative, larger patterns. As biology transforms into information science, large quantitative methods have become more prominent. Data became destiny. Accordingly, for my postdoc, I switched fields towards bioinformatics, learned how to code, and had the lucky opportunity to spend a few years in a machine learning lab to satisfy my curiosity. It was a personally enriching, albeit academically only semi-successful, period of my career. My experience, however, became handy later. When I decided to leave academia during the pandemic with vague ideas of writing about science for a living instead of, say, coding or pipetting, my dissatisfaction with not understanding the larger forces shaping the complex systems we are part of never really left me. Looking back, I must have sent over half a million of my words out on Twitter alone, the majority of them after being sucked into the man-made controversy. Originally in favor of lab leak speculations, I was getting all too familiar with the various contrarian scientists, conspiratorial actors, and conniving opportunists that thrived on this topic. Who had a point and who was making things up? Yet again, it seemed like there were just too many moving pieces to understand what was going on. Once more, I found myself curious about the larger forces—in this case, the complex dynamics within social media—that seemed to produce certain collective confusions in our public discourse. A different, more systemic approach was needed to bring them into the right frame. What caught my curiosity was the rise of the influencer economy. “When I had the first thousand followers, I thought it was crazy that so many people wanted to hear from me,” Professor Angela Rasmussen (she prefers Angie) recalled the early days of her rise on Twitter. Today, the outspoken and sharp-tongued virologist is known for not taking b******t from anyone. Whether it is incompetent politicians, abusive contrarians, self-serving pundits, or out-of-touch institutions, if they make public declarations that go against what she knows the evidence to be, she is unwilling to let it slide. “The public deserves good information.” She is as sure of this today as she was in the early days of the pandemic. This simple conviction would lead her to become one of the most popular—and most harassed—virologists on Twitter, as well as a prominent figure in interviews, news reports, and articles. She admits she hasn’t always been confrontational, but it was a necessary skill she had to unfortunately learn to be listened to and to move up the ranks in a male-dominated academic environment. Scientifically, the professor was occupying herself not so much with viruses per se as with their host's response to them. This dates b
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Biosafety rarely ends at the lab door, and biosecurity coverage gives us scary headlines but wrong perceptions. Right now, bird flu is spreading through a Utah mink farm, while officials scramble without a response plan. Meanwhile, Washington is busy fighting boogeyman of the last pandemic’s origin story, turning it into vindictive research bans, cancelled funding and vaccine contracts, and scientists who can no longer do the work that keeps us safe. This week on Science Counterpunch, we’re joined by Gigi Kwik Gronvall, an immunologist, Fort Detrick veteran researcher and professor at the Johns Hopkins University who recently testified before Congress on biotech innovation and biosecurity, for a clear-eyed look at what biosecurity really means and how policy by vibes leaves us less safe. We unpack the difference between scary stories and real risks, why gutting scientific capacity is a security threat in itself, and what an evidence-based defense against the next pandemic should look like. We talk about: * biosafety vs. biosecurity—what they mean, and why they matter far beyond the lab * fiction vs. reality: what thrillers like Biological War get right, and why real outbreaks rarely start with a villain * how the lab-leak narrative became a funding policy—and what vague gain-of-function bans cost us in the race against bird flu * smart rules vs. vibes rules for lab safety, AI biothreats, and apocalyptic narratives shaping public perceptions * what governments, institutions, and listeners can do now to build pandemic preparedness This isn’t about being for or against scary biosecurity science. It’s about keeping evidence, and reality, in charge — before the next outbreak decides how bad it gets. Science Counterpunch is a punchy YouTube-first podcast that exists to defend the Enlightenment in an age of information warfare. We expose merchants of doubt, amplify experts under attack, and arm you with the tools to spot anti-science rhetoric before it spreads. Evidence matters. Reason isn’t optional. Let’s counterpunch. Push back on propaganda and help amplify the voices of scientists under attack - share this episode.
I´m not going to lie. It often feels impossible to keep on top of things these days, between career, raising two young kids, health challenges and just trying to function, the day has few hours left to think about what I can do to make a difference in public discourse, or just as a citizen with a democratic inclination to fight rising authoritarianism and anti-science grifters. I know many readers here are similarily exhausted; so this is not to complain but to show that maybe there are small things we can do here and there. For example, I recently created an interactive Covid-19 origins timeline based on the research in my book with the help of AI tools. It´s not perfect, but it is a lot more accessible than a 500 page book. I prototyped (or vibe-coded) the html for the timeline up in a few hours using Claude code, because I thought this is a useful thing to have and a bounded application of AI I can stand behind. (I also wrote a new AI use policy for my blog here) Because of this experiment, I got a bit more ambitious to try to create a useful resource from our Science Counterpunch interviews. You can watch the live video explainer on top, and you can find the library here. Sharing is caring?
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Modern authoritarianism doesn’t arrive with tanks. It announces itself with spreadsheets, budget cuts, accreditation fights, and the quiet capture of institutions most people barely notice—until they’re gone. This week on Science Counterpunch, we’re joined by Professor Christina Pagel, Professor of Operational Research at UCL and creator of the Trump Action Tracker, a data‑driven record of nearly 3,000 actions documenting the attacks on democratic and scientific institutions in the U.S. Drawing on her public communication work with Independent SAGE, Christina now raises the alarm about US politics with hard-to-refute data; explains why universities, regulators, media, and science itself are always early targets, and how fear and anticipatory compliance do much of the authoritarian work for free. We talk about: * her data collection project “Trump action tracker” and the administration’s method behind the madness * why modern authoritarianism is quiet, bureaucratic, and strategic * how controlling data and “official numbers” beats outright censorship * why institutions don’t protect themselves—and often can’t * how vulnerable UK institutions really are (even the ones you assume are safe) * and why paying attention, speaking up, and refusing to disengage still matters This isn’t about doom-scrolling news. It’s about pattern recognition—and a warning from someone who knows how quickly “it can’t happen here” turns into “it already has.” Science Counterpunch is a punchy YouTube-first podcast that exists to defend the Enlightenment in an age of information warfare. We expose merchants of doubt, amplify experts under attack, and arm you with the tools to spot anti-science rhetoric before it spreads. Evidence matters. Reason isn’t optional. Let’s counterpunch. Push back on disinformation and help amplify the voices of scientists under attack - share this episode.