×

We use cookies to help make LingQ better. By visiting the site, you agree to our cookie policy.


image

Crash Course 2: Philosophy., 03a. How to Argue - Induction & Abduction. Part 1/2.

03a. How to Argue - Induction & Abduction. Part 1/2.

Crash Course Philosophy is brought to you by Squarespace.

Squarespace: Share your passion with the world. How do you know that aspirin will take care of your headache?

Why do you really want to see the new Marvel movie, even though you haven't heard anything about it, good or bad? Your ability to do things like predict how a medication will affect you, or what movie you might like, or even things like what the perfect gift might be for your best friend, or what's the fastest way to get to campus –- all of this stuff, you know through induction.

Deductive arguments are great because they give us certain answers.

But unfortunately, much of the world cannot be summed up in a neat deductive proof. Deduction requires a fair amount of general information to give you a specific conclusion that is, frankly, probably kind of obvious. So, philosophy -- and basically, you know, life as well -- require that you have other ways of reasoning.

In addition to knowing how one fact leads to another, you also need to take what you've experienced before, and use that to predict what might happen in the future. And you need to be able to rule out what can't be true, so you can focus on what can. Through these kinds of reasoning, you're not only able to figure out stuff like how to fix your headache, and why your roommate might be acting weird.

You can also come up with better, more skillful arguments — and counterarguments — which are some of the most important maneuvers in the philosophical game. And maybe the best part is, you already know how to use these techniques. In fact, I bet you've used them this very day.

You know this! [Theme Music]

If you possess any ability to really predict the future, it lies in your ability to reason inductively.

Inductive reasoning relies on the predictability of nature to reveal that the future is likely to resemble the past, often in important ways. For example, there's tons of research to support the knowledge that aspirin – acetylsalicylic acid -- is an effective treatment for pain, like headaches.

And you probably have personal experience with the effects of aspirin, too. So, you believe that this aspirin tablet will cure the headache you have right now, because countless aspirin tablets have cured countless headaches in the past.

Likewise, you want to see the new Marvel movie, because you liked most of the other ones, so you believe that they'll continue to deliver for you, entertainment-wise.

But it's important to remember that, unlike deduction, where true premises entail true conclusions, inductive premises only mean that the conclusion is likely to be true.

Inductive arguments don't provide you with certainty.

Instead, they work in terms of probabilities. And they're useful for more than predicting what's going to happen. For example: Most men in ancient Athens had beards.

Socrates was a man who lived in ancient Athens.

Therefore, Socrates probably had a beard.

This is an inductive argument, because it starts with what we already know – about the grooming habits of ancient Athenian men, and about the time and place in which Socrates lived – and makes an educated guess based on that information.

There's no guarantee that the conclusion is correct, but what's known would seem to support it.

Reasoning like this is incredibly useful, which is why it's so common. But there's also a problem. The future doesn't always resemble the past. And every pattern has its outliers. So induction always has the potential to produce false results. Aspirin might not work on a really bad headache. The new Marvel movie might be awful. And, yeah, maybe a specific guy in Athens had a beard but it's possible he didn't! While the world tends to work according to predictable rules, sometimes those rules are violated.

And you know what you need when that happens? A little Flash Philosophy. Off to the Thought Bubble. Contemporary American philosopher Nelson Goodman confronts the problems of induction, using a thought exercise about a hypothetical substance called grue.

According to Goodman's scenario, grue is anything that's the color green before a certain time, a time that we will call t. And another property of grue is that, while it's green before time t, it's blue after it.

Now, let's assume that we're living in a time before t. t could happen a hundred years from now or tomorrow, but we know that all of the emeralds we've ever seen are green.

So, inductive reasoning lets us conclude that all emeralds are green, and will remain green after time t -- since emeralds haven't been known to change color.

BUT! All emeralds are grue! Because it's not yet time t, and they're green, which is part of the definition of grue. So we have no choice but to conclude that the emeralds will be blue after time t arrives.

Now we've got a problem. Because inductive reasoning has led us to conclude that emeralds will be blue after time t, but inductive reasoning also tells us that they'll remain green. Goodman's riddle reminds us that inductive evidence can be flawed, or contradictory.

It can make you think that you can predict the future, when of course you can't. So, there are times when you need to get at the truth in other ways.

Like by eliminating what's obviously not true, and considering what's most likely. And for this, we turn our attention to one of the most important philosophical figures of 19th century England: Sherlock Holmes.

In chapter six of Sir Arthur Conan Doyle's “The Sign of the Four,” Mr. Holmes says, and I quote: “When you have eliminated the impossible, whatever remains, however improbable, must be the truth.”

This is probably the best, most succinct description ever given of the kind of reasoning known as abduction.

Which I know, it sounds like we're talking about a kidnapping or something, but abduction is a thought process sometimes described as “inference to the best explanation.”

03a. How to Argue - Induction & Abduction. Part 1/2. 03a. Wie man argumentiert - Induktion & Abduktion. Teil 1/2. 03a. Cómo argumentar - Inducción y abducción. Parte 1/2. 03a.議論の仕方 - 誘導とアブダクション。パート1/2。 03a. Hoe te argumenteren - Inductie & Abductie. Deel 1/2. 03a. Jak argumentować - indukcja i uprowadzenie. Część 1/2. 03a. Como Argumentar - Indução e Abdução. Parte 1/2. 03a. Как спорить - индукция и абдукция. Часть 1/2. 03a. Tartışma Nasıl Yapılır - Tümevarım ve Kaçırma. Bölüm 1/2. 03a. Як сперечатися - індукція та абдукція. Частина 1/2. 03a. 如何辩论 - 归纳推理与溯因推理。第 1/2 部分。

Crash Course Philosophy is brought to you by Squarespace.

Squarespace: Share your passion with the world. How do you know that aspirin will take care of your headache?

Why do you really want to see the new Marvel movie, even though you haven’t heard anything about it, good or bad? Your ability to do things like predict how a medication will affect you, or what movie you might like, or even things like what the perfect gift might be for your best friend, or what’s the fastest way to get to campus –- all of this stuff, you know through induction. Ваша способность предсказывать, как на вас подействует то или иное лекарство, или какой фильм вам понравится, или даже такие вещи, как идеальный подарок для вашего лучшего друга, или какой самый быстрый способ добраться до кампуса - все это вы узнаете благодаря индукции. 你能够预测某种药物会对你产生什么影响,或者你可能会喜欢什么电影,甚至可以预测给你最好的朋友送什么礼物最合适,或者什么是到达校园的最快方式——所有这些事情,你都可以通过归纳法知道。

Deductive arguments are great because they give us certain answers.

But unfortunately, much of the world cannot be summed up in a neat deductive proof. Deduction requires a fair amount of general information to give you a specific conclusion that is, frankly, probably kind of obvious. 演绎需要大量的一般信息才能得出一个具体的结论,坦率地说,这个结论可能很明显。 So, philosophy -- and basically, you know, life as well -- require that you have other ways of reasoning.

In addition to knowing how one fact leads to another, you also need to take what you’ve experienced before, and use that to predict what might happen in the future. And you need to be able to rule out what can’t be true, so you can focus on what can. Through these kinds of reasoning, you’re not only able to figure out stuff like how to fix your headache, and why your roommate might be acting weird. 通过这些推理,您不仅能够弄清楚如何解决头痛问题,以及为什么您的室友会表现得很奇怪。

You can also come up with better, more skillful arguments — and counterarguments — which are some of the most important maneuvers in the philosophical game. And maybe the best part is, you already know how to use these techniques. In fact, I bet you’ve used them this very day.

You know this! [Theme Music]

If you possess any ability to really predict the future, it lies in your ability to reason inductively.

Inductive reasoning relies on the predictability of nature to reveal that the future is likely to resemble the past, often in important ways. 归纳推理依靠自然的可预测性来揭示未来可能与过去相似,通常是在重要的方面。 For example, there’s tons of research to support the knowledge that aspirin – acetylsalicylic acid -- is an effective treatment for pain, like headaches.

And you probably have personal experience with the effects of aspirin, too. So, you believe that this aspirin tablet will cure the headache you have right now, because countless aspirin tablets have cured countless headaches in the past.

Likewise, you want to see the new Marvel movie, because you liked most of the other ones, so you believe that they’ll continue to deliver for you, entertainment-wise.

But it’s important to remember that, unlike deduction, where true premises entail true conclusions, inductive premises only mean that the conclusion is likely to be true. 但重要的是要记住,与演绎不同,演绎的前提正确必然得出正确的结论,而归纳的前提仅意味着结论可能是正确的。

Inductive arguments don’t provide you with certainty.

Instead, they work in terms of probabilities. 相反,它们是按照概率来运作的。 And they’re useful for more than predicting what’s going to happen. For example: 例如: Most men in ancient Athens had beards.

Socrates was a man who lived in ancient Athens.

Therefore, Socrates probably had a beard.

This is an inductive argument, because it starts with what we already know – about the grooming habits of ancient Athenian men, and about the time and place in which Socrates lived – and makes an educated guess based on that information.

There’s no guarantee that the conclusion is correct, but what’s known would seem to support it.

Reasoning like this is incredibly useful, which is why it’s so common. But there’s also a problem. The future doesn’t always resemble the past. And every pattern has its outliers. So induction always has the potential to produce false results. Aspirin might not work on a really bad headache. The new Marvel movie might be awful. And, yeah, maybe a specific guy in Athens had a beard but it’s possible he didn’t! While the world tends to work according to predictable rules, sometimes those rules are violated. 尽管世界倾向于按照可预测的规则运转,但有时这些规则也会被违反。

And you know what you need when that happens? A little Flash Philosophy. Off to the Thought Bubble. Contemporary American philosopher Nelson Goodman confronts the problems of induction, using a thought exercise about a hypothetical substance called grue.

According to Goodman’s scenario, grue is anything that’s the color green before a certain time, a time that we will call t. And another property of grue is that, while it’s green before time t, it’s blue after it.

Now, let’s assume that we’re living in a time before t. t could happen a hundred years from now or tomorrow, but we know that all of the emeralds we’ve ever seen are green. 现在,让我们假设我们生活在 t 之前的时代。t 可能发生在一百年后或明天,但我们知道我们所见过的所有祖母绿都是绿色的。

So, inductive reasoning lets us conclude that all emeralds are green, and will remain green after time t -- since emeralds haven’t been known to change color. 因此,归纳推理让我们得出结论,所有祖母绿都是绿色的,并且在时间 t 之后仍将保持绿色——因为我们还不知道祖母绿会改变颜色。

BUT! All emeralds are grue! Because it’s not yet time t, and they’re green, which is part of the definition of grue. So we have no choice but to conclude that the emeralds will be blue after time t arrives.

Now we’ve got a problem. Because inductive reasoning has led us to conclude that emeralds will be blue after time t, but inductive reasoning also tells us that they’ll remain green. Goodman’s riddle reminds us that inductive evidence can be flawed, or contradictory.

It can make you think that you can predict the future, when of course you can’t. So, there are times when you need to get at the truth in other ways.

Like by eliminating what’s obviously not true, and considering what’s most likely. And for this, we turn our attention to one of the most important philosophical figures of 19th century England: Sherlock Holmes.

In chapter six of Sir Arthur Conan Doyle’s “The Sign of the Four,” Mr. Holmes says, and I quote: “When you have eliminated the impossible, whatever remains, however improbable, must be the truth.” "Когда вы исключили невозможное, все, что осталось, каким бы невероятным оно ни было, должно быть правдой".

This is probably the best, most succinct description ever given of the kind of reasoning known as abduction. 这可能是迄今为止对所谓溯因推理最好的、最简洁的描述。

Which I know, it sounds like we’re talking about a kidnapping or something, but abduction is a thought process sometimes described as “inference to the best explanation.”