Adam Kucharski

And you see this in even a lot of studies around political beliefs that people will often try and convince others with arguments that convince them.

And then you get this gap and it's almost like that just fails.

And I think that's a really interesting step to explore.

But why does that fail?

And one of the things that

I find even just kind of in some of the modern tools we have in the modern era, quite striking, is where we have this desire to explain things.

So, yeah, a few years ago, I was talking to a bunch of people working on AI, and there was a lot of concern about things like self-driving cars.

We don't understand why they make mistakes.

We need that explainability.

We can't have things we don't trust.

And actually, in medicine, we have all sorts of things that we know work.

We know how often they work.

We don't fully understand the physics and biology.

Something like anesthesia, for example.

Yeah.

You can control the effect it's going to have, but actually all the underlying biology and physics mechanisms, there's still more work to be done.

Things like defibrillation, you know, if you give a heart a shock, you can kind of reset it.

Again, some of that's understood, but there's still those kind of gaps in knowledge.

But we know that these are useful tools.

And even if you run a clinical trial, you can assess how effective a treatment is.