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

There Is No End of Science


2m read
·Nov 3, 2024

That's an excellent example of what's called a crucial test, which is sort of the pinnacle of what science is all about. If we do a test and it doesn't agree with a particular theory that we have, that's problematic. But that doesn't mean that it refutes the theory because if you were to refute the only theory that you have, where do you jump to? You don't have any alternative.

If we were to do a scientific test tomorrow and it was inconsistent with the theory of general relativity, then what? There is no alternative to general relativity. In fact, when there have been experiments over the years that seem to have been inconsistent with general relativity, guess what? They've all turned out to be faulty. If you had to choose between whether or not general relativity has been refuted by your test or your test is flawed, go with the fact that your test is being flawed.

In the case of Eddington's experiment, we had two viable theories for what gravity was. We had Newton's theory of universal gravitation on the one hand, and we had Einstein's general theory of relativity on the other. This experiment that you described of how much the light was bent during a solar eclipse, the correct way of describing what happened is not that we showed that general relativity was correct in some final sense, but rather we refuted Newton's theory of gravitation.

Newton's theory was ruled out because it was inconsistent with the test, while general relativity was consistent with the test. This doesn't mean that general relativity is the final word in science; it means that it's the best theory we have for now. There are a whole bunch of reasons that we might think general relativity ultimately has to turn out false. We never have the final word, and that's a good thing.

That's a really positive, optimistic thing because it means we can keep on improving, we can keep on making progress, and we keep on discovering new things. There is no end of science. The long thought-about idea that so many have feared—that one day progress will come to a halt, that science will end—in fact, we are at the beginning of infinity, and we will always be at the beginning of infinity precisely because we can improve our ideas.

Because we're fallible human beings, none of our theories are perfect, because we aren't, and our process by which we create knowledge isn't perfect either; it's error-prone.

More Articles

View All
CS50 Lecture by Mark Zuckerberg - 7 December 2005
MICHAEL D. SMITH: This afternoon I have the pleasure of introducing Mark Zuckerberg, which is one of our guest speakers this semester to come and talk a little bit about computer science in the real world. As most of you probably know, as you guys all do …
Citizenship in early America, 1789-1830s | Citizenship | High school civics | Khan Academy
In this video and the one that follows, I’m going to give you a brief overview of citizenship rights in early America. Who was considered a citizen? Did having citizenship mean that you had the right to vote? How did citizenship and voting rights change…
Countries inside Countries
When it comes to neighbors, most countries have several options: like North to Canada or South to Mexico. But there are countries that don’t have this freedom of choice, not because they’re islands but because they’re trapped in another country. For examp…
The Theory of Everything
In the year 1925, Einstein shared with the student his burning desire to understand the universe. “I want to know how God created this world,” he said as they strolled along. “I’m not interested in this or that phenomenon in the spectrum of this or that e…
Approximating dividing by decimals
What we’re going to do in this video is get a little bit of practice estimating dividing with decimals. So, for example, we want to figure out approximately— that’s what these kind of squiggly equal sign means; this means approximately equal. So what is…
Introduction to the chi-square test for homogeneity | AP Statistics | Khan Academy
We’ve already been introduced to the chi-squared statistic in other videos. Now, we’re going to use it for a test for homogeneity. In everyday language, this means how similar things are, and that’s what we’re essentially going to test here. We’re going …