Theo Von
👤 PersonAppearances Over Time
Podcast Appearances
run the studies you need to run, make sure they're run properly with an unbiased look at all of this. So important because the thing about vaccines and autism is really a microcosm for a much larger theme about how much can we trust the medical community.
And listen, I know scientists, I was weaned in this, my dad's a scientist, like most scientists, like 99.9% of scientists want to get things right. We are in the business of trying to un-tease the secrets of nature and do good things with them. And yet there are those that will manipulate the system. No one goes into science to get rich.
And listen, I know scientists, I was weaned in this, my dad's a scientist, like most scientists, like 99.9% of scientists want to get things right. We are in the business of trying to un-tease the secrets of nature and do good things with them. And yet there are those that will manipulate the system. No one goes into science to get rich.
And listen, I know scientists, I was weaned in this, my dad's a scientist, like most scientists, like 99.9% of scientists want to get things right. We are in the business of trying to un-tease the secrets of nature and do good things with them. And yet there are those that will manipulate the system. No one goes into science to get rich.
They go into biotech to get rich, but you don't become a bench scientist at a university to get rich. Trust me.
They go into biotech to get rich, but you don't become a bench scientist at a university to get rich. Trust me.
They go into biotech to get rich, but you don't become a bench scientist at a university to get rich. Trust me.
Sure. So I'll try and keep this relatively succinct. This is a whole landscape and it's something that is like really deep and important to me as a science communicator, health communicator who has friends on both sides, you know, of these debates. The most important thing to understand is scientists are trying to figure out the truth.
Sure. So I'll try and keep this relatively succinct. This is a whole landscape and it's something that is like really deep and important to me as a science communicator, health communicator who has friends on both sides, you know, of these debates. The most important thing to understand is scientists are trying to figure out the truth.
Sure. So I'll try and keep this relatively succinct. This is a whole landscape and it's something that is like really deep and important to me as a science communicator, health communicator who has friends on both sides, you know, of these debates. The most important thing to understand is scientists are trying to figure out the truth.
They are also human and they're highly incentivized to advance their careers. One of the things that I've observed in science is not people making up data. That's exceedingly rare, but scientists, Scientists sometimes, when they don't get the answer they want in an experiment, they'll come up with reasons for why that experiment probably wasn't run right, and maybe we should discard the data.
They are also human and they're highly incentivized to advance their careers. One of the things that I've observed in science is not people making up data. That's exceedingly rare, but scientists, Scientists sometimes, when they don't get the answer they want in an experiment, they'll come up with reasons for why that experiment probably wasn't run right, and maybe we should discard the data.
They are also human and they're highly incentivized to advance their careers. One of the things that I've observed in science is not people making up data. That's exceedingly rare, but scientists, Scientists sometimes, when they don't get the answer they want in an experiment, they'll come up with reasons for why that experiment probably wasn't run right, and maybe we should discard the data.
Okay, let's say one time, when they don't get- When they don't get the answer they want, they will come up with reasons why, oh, that antibody wasn't as fresh, or the conditions weren't right, and they will start to steer the data, steer the experiment. I have observed that, okay? I've observed that a lot in my career, sadly. Okay.
Okay, let's say one time, when they don't get- When they don't get the answer they want, they will come up with reasons why, oh, that antibody wasn't as fresh, or the conditions weren't right, and they will start to steer the data, steer the experiment. I have observed that, okay? I've observed that a lot in my career, sadly. Okay.
Okay, let's say one time, when they don't get- When they don't get the answer they want, they will come up with reasons why, oh, that antibody wasn't as fresh, or the conditions weren't right, and they will start to steer the data, steer the experiment. I have observed that, okay? I've observed that a lot in my career, sadly. Okay.
Far less common are people outright making up data, what we call fudging data, just like making up numbers. There's a famous case in nanotechnology of this kid whose last name was Shon. He was like a wunderkind in the sense that he had like, it's very hard to publish papers in science or nature. This is like the Super Bowl rings of science.
Far less common are people outright making up data, what we call fudging data, just like making up numbers. There's a famous case in nanotechnology of this kid whose last name was Shon. He was like a wunderkind in the sense that he had like, it's very hard to publish papers in science or nature. This is like the Super Bowl rings of science.
Far less common are people outright making up data, what we call fudging data, just like making up numbers. There's a famous case in nanotechnology of this kid whose last name was Shon. He was like a wunderkind in the sense that he had like, it's very hard to publish papers in science or nature. This is like the Super Bowl rings of science.
I've had a couple in nature, a couple in science, and I feel immensely blessed for that. Shon was publishing 12 papers a year in nature and science. And at some point, people start looking more closely at their data, okay? And what happened? They saw that the random noise plots, random should be random, right? You don't need to be a scientist or a genius to understand that random should be random.