{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Paul Truesdell Podcast","title":"The Scientific Process","html":"","width":"100%","height":180,"duration":2526,"description":"Good morning, good afternoon, or good evening, depending on when you happen to be listening. This is the Paul Truesdell Podcast, and I am Paul Grant Truesdell—the Elder, Senior, or the oldest of the two with this name.Today I want to talk about something that sits at the heart of everything I do and, frankly, everything you should expect out of people who claim the title of scientist, professional, or even advisor. I want to talk about the scientific process. Not science as dogma, not science as politics, not the COVID-19 pseudo science that was pushed with government scare tactics and, yes, in many cases, outright criminal behavior. Not the kind of “research” that comes out of gender studies departments where biology gets bent to fit ideology. Not the woke science and DEI mandates that elevate slogans over data. And certainly not taxpayer-funded studies on the mating habits of extinct dodo birds. What I am talking about is science as a living, breathing system of thinking.Let me begin with something Garry Nolan, a Stanford professor and one of the brightest minds in cancer and immunology research, said in a way that I think is worth repeating. He said, “Good science is being right today and wrong tomorrow.” Think about that. “Good science is being right today and wrong tomorrow.” Here’s the root of many problems. You, me, we, and the man in the moon often want certainty, we demand conclusions, we crave the final answer. And we want it now, with little if any effort, at no cost, and with maximum benefits. But the truth is that science, when done correctly, is provisional. And by provisional, I mean temporary—it’s the best working answer we have at the moment, subject to change as new facts roll in. It is about being as right as you can be with the data you have today, knowing full well that tomorrow better data, better instruments, or better insights might prove you wrong. And that is not a weakness—that is the strength of science. It’s well worth remembering a...","thumbnail_url":"https://img.transistorcdn.com/115-XsjkdwCpJ99xv-8oZ76t6jr8ScWEC5MYSKzL0ig/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82MTUx/OWRiNTc0NTk0Y2Nk/M2VjYTliMGVhN2Zm/YTZkZi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}