Terminalxylem
Footballguy
Interesting article from YLE, discussing how some people approach scientific topics, especially healthcare.
I also realize I may facilitate this phenomenon, by providing advice here.
With all this in mind, how do you go about addressing a medical problem, or answering a scientific question (eg. the value of a nutritional supplement)? How much, and what kind of research do you perform before seeking the "experts"? How often have you been disappointed, or rejected their advice, based on your own research?
Like “misinformation” and “disinformation,” the phrase “doing your own research” has become deeply polarizing.
To some, it’s a call to think critically about health information and do their due diligence before making health decisions. To others—especially in science and medicine—it represents the mistaken belief that a Google or AI chatbot search can substitute for years of scientific and medical training.
Adding to the polarization, some prominent voices use this phrase to undermine trust in clinicians, urging people to reject medical advice in favor of their own research. In response, some in science and medicine view the desire to do your own research as an outright rejection of expertise, and respond with ridicule.
Admittedly, I usually cringe when people address their medical care in this manner. "Doing my own research" is on the short list of trigger phrases which bias me against a patient, along with "I know my own body" and "everybody's different", as these statements usually precede noncompliance with the suggested plan. I realize that's not ideal, and the link offers advice to communicate more effectively:“Doing your own research” is hard, and easy to get wrong
The problem, of course, is that investigating things on your own takes time and skill, and it’s easy to get it wrong. Nobody can do all of the work on their own; ultimately everyone must rely on other people’s data, analysis, and summaries. This can sometimes send a well-intentioned beginner on a quest for knowledge that goes sideways:
- The beginner’s bubble. In early stages of learning, confidence tends to increase faster than skill, meaning people often overestimate their accuracy when they are first learning something new.
- The quest to “do it all on your own” can backfire. "Epistemic superheroes" want to figure out everything on their own and distrust other people’s information. But their task is impossible—nature is too complex for us to solve by ourselves. When the “trust no one” mantra inevitably leads to “I must decide who to trust,” it is easy to gravitate towards other like-minded skeptics. This creates a highly biased information bubble, the exact opposite of the original goal.
- Assuming “unbiased” knowledge will contradict consensus. For many, doing their own research began with doubting the consensus view. Challenging consensus is healthy when new data emerges, but assuming “real” truth always opposes the consensus creates bias, undermining the search for unbiased answers.
- Avoiding responsibility. Some use “do your own research” to avoid citing sources, encouraging others to do their own research to figure out if it’s true. This allows people to spread unverified information while giving the appearance of supporting autonomy, and shifts the burden of proof entirely onto the audience.
As AI gets better, it becomes more realistic to seek as a source of expertise. So I expect this trend will only continue.How do we stop talking past each other, and what should we do instead?
In today’s health landscape, doing your own research is unavoidable. But too often, it leads to people navigating complex and at times conflicting information without the tools to make sense of it. Rejecting expertise is not helpful; mocking people for doing their own research is not helpful either. Here’s how we can do a better job meeting in the middle:
- Recognize the value of experience. No generation before has had the information-sorting task that we have, and it’s hard. Experts play a critical role in helping people navigate the noise. A bias against expertise will derail the quest for unbiased information.
- Don’t demand trust because you’re an expert. On the flip side, experts should realize that “trust me I’m an expert” doesn’t work well anymore. Expertise matters, but building trust is often more about how we treat people than the letters after our names.
- Offer knowledge, don’t push it. For those who want more autonomy in their health decisions, offering knowledge is helpful, but telling them what to do is not. For this audience, it’s more helpful to provide information (“the benefits of the MMR vaccine outweigh the risks, here’s why”), without telling them how to use it (“you need to vaccinate your child.”)
- Acknowledge uncertainty in the data. When the data aren’t straightforward, we must embrace nuance—acknowledge what we do and don’t know instead of giving overly simple answers.
- Don’t gatekeep, do explain. Telling people not to read research studies because it’s “too complicated” won’t stop them, but it will alienate them. Instead, invite people to understand the data: “here’s why that study was flawed” is a whole lot better than “stop trying to read papers you don’t understand.”
I also realize I may facilitate this phenomenon, by providing advice here.
With all this in mind, how do you go about addressing a medical problem, or answering a scientific question (eg. the value of a nutritional supplement)? How much, and what kind of research do you perform before seeking the "experts"? How often have you been disappointed, or rejected their advice, based on your own research?