yego.me
💡 Stop wasting time. Read Youtube instead of watch. Download Chrome Extension

Good Explanations Are Hard to Vary


2m read
·Nov 3, 2024

Brett, would you say that a scientific theory is a subset of a good explanation? Yes, they're the testable kinds of good explanations. Falsifiable theories are actually a dime a dozen. This doesn't tell you anything about the quality of the explanation you're being given.

The example that's used in "The Fabric of Reality" is the grass cure for the common cold. If someone comes along to you and says, "If you eat 1.0 kilograms of grass, it will cure your common cold," they have a testable theory. The problem is that no one should test it. Why? Because they haven't given you an explanation as to what the mechanism is that would enable grass to cure the common cold.

If you do eat the 1.0 kilograms of grass and it doesn't cure your cold, they can turn around and say, "1.1 kilograms might do it," right? Or you need a different kind of grass, or you need to always do it on a different day. It's always testable, but you're not getting anywhere; you're not making any progress.

So, I think the second piece of a good explanation is hard to vary. It has to be very precise, and there must be a good reason for the precision. The famous example he used in "The Beginning of Infinity" is, "Why do we have seasons on the Earth?" There was the old Greek explanation: "Well, it's driven by Persephone, the goddess of spring. That's when she can leave Hades," and there's this whole theory involving gods and goddesses. Not only was that not easily testable, it was very easy to vary. Persephone could have been Nike, and Hades could have been Jupiter or Zeus.

It's very easy to vary that explanation without the predictions changing. Whereas if you look at the axis tilt theory of saying "The Earth is angled at 23 degrees relative to the sun," and therefore would expect the sun to rise here in the winter and over there in the summer, the facts on that are very hard to vary. It makes risky and narrow predictions. They can predict the exact length of summer and winter at different latitudes, and you can test that very precisely.

So beyond it being a creative theory that is testable and falsifiable, it should be hard to vary the pieces of that theory without essentially destroying that theory. You certainly don't want to vary it after the fact, like your grass example: "Oh, it was one kilogram, now it's 1.1, now it's 1.2."

Finally, the predictions that it makes should be very narrow and precise, and they should be risky. For example, I believe in relativity; was it Eddington who did the experiment and showed that starlight gets bent around the eclipse? That was a prediction that Einstein had made in relativity, which turned out to be true. That was a risky prediction that took a long time to confirm.

More Articles

View All
BitConnect is the $900,000,000 Crypto Ponzi Scheme
What’s up you guys? It’s Graham here. So, as you can see in the background, I just started furnishing the duplex and it’s looking pretty dope right now. I promised you guys another update video in the next like week or so as I get a little bit more work d…
The Hessian matrix | Multivariable calculus | Khan Academy
Hey guys, so before talking about the vector form for the quadratic approximation of multivariable functions, I’ve got to introduce this thing called the Hessen Matrix. The Hessen Matrix, and essentially what this is, it’s just a way to package all the in…
Creative algebra at work | Algebra 1 | Khan Academy
[Music] Hi everyone, Sal Khan here. I’ve always been drawn to creative things. I like to see change and new things in the world, and because of that, I’ve been drawn to careers where I can most apply my creativity, especially in an abstract sense. Algebra…
The Pirate's Perspective | Lawless Oceans
Why did you want to go into piracy? But what made you want to conduct piracy locally? Is it a little way you or the other one for the oven can grow up? Yeah, I’m getting my devil on. Call myself the other one until the work was enough. The National Guard…
Why Vertical LLM Agents Are The New $1 Billion SaaS Opportunities
This is their first ever experience talking to this Godlike feeling, you know, AI that was all of a sudden doing these tasks that would take me, when I practice, like a whole day. And it’s being done in a minute and a half. The whole company, all 120 of u…
Why Send Art Into Space? | Short Film Showcase
[Music] Why go to space? Why do we leave this place? It’s easy to be. The act of going there pushes boundaries in and of itself. It’s a blind exploration into a very cold, inhospitable, and expansive universe. Sometimes the opportunity is so tremendous …